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All Journal DE JURE Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Edukasi Islami: Jurnal Pendidikan Islam Jurnal al-Ulum : Jurnal Pemikiran dan penelitian ke-Islaman JURIKOM (Jurnal Riset Komputer) HIKMAH : JURNAL PENDIDIKAN AGAMA ISLAM Building of Informatics, Technology and Science Jurnal Penelitian Pembelajaran Matematika Sekolah Prosiding Seminar Nasional Teknik Mesin Jurnal Pengabdian Masyarakat: Darma Bakti Teuku Umar Indonesian Journal of Electrical Engineering and Computer Science Jurnal Mekanik Terapan Movere Journal Malcom: Indonesian Journal of Machine Learning and Computer Science Zona Manajerial: Program Studi Manajemen (S1) Universitas Batam Jurnal Teknologi Informasi Jurnal Manajemen Sistem Informasi Buletin Pengabdian INSANTA: JURNAL PENGABDIAN KEPADA MASYARAKAT JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L) ABDIMU: Jurnal Pengabdian Muhammadiyah Jurnal Pertanian Agros
Fachruddin Fachruddin
Pascasarjana Program Studi Teknik Sipil dan Lingkungan, Fakultas Teknologi Pertanian, SPs Institut Pertanian Bogor.
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PENGARUH EARNING PER SHARE DAN DEBT TO EQUITY RATIO TERHADAP HARGA SAHAM PADA PT. SAMINDO RESOURCES, TBK. Fachruddin, Fachruddin; Kusumawati, Andi; Syamsuddin, Syamsuddin; Utama, Melda
Movere Journal Vol. 5 No. 02 (2023)
Publisher : Sekolah Tinggi Ilmu Ekonomi (STIE) Tri Dharma Nusantara Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53654/mv.v5i02.374

Abstract

Tujuan penelitian ini adalah untuk mengetahui pengaruh Earning Per Share dan Debt to Equity Ratio terhadap harga saham pada PT. Samindo Resources, Tbk. tahun 2017-2022. Jenis data yang digunakan dalam penelitian ini adalah data kualitatif dan kuantitatif. Sumber data yang digunakan yaitu data sekunder. Metode analisis yang digunakan adalah analisis Earning Per Share, Debt to Equity Ratio dan regresi linear berganda. Hasil penelitian menunjukkan bahwa: persamaan regresi yang diperoleh adalah Y = 9,818 + 0,421X1 – 3,444X2, uji koefisien korelasi r = 0,916 artinya nilai koefisien memiliki hubungan yang sangat kuat, uji koefisien determinasi R2 = 0,839. Secara parsial Earning Per Share berpengaruh positif dan tidak signifikan terhadap harga saham, demikian hipotesis ini ditolak dan uji t Debt to Equity Ratio berpengaruh negatif dan signifikan terhadap harga saham, demikian hipotesis ini diterima. Secara simultan Earning Per Share dan Debt to Equity Ratio berpengaruh signifikan terhadap harga saham pada PT. Samindo Resources, Tbk. Demikian, hipotesis ini diterima
Perbandingan Data Prediksi Diabetes Menggunakan Machine Learning: Comparison of Diabetes Prediction Data Using Machine Learning Ibrahim, Mikhail Claudio; Fachruddin, Fachruddin; Nurhadi, Nurhadi
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 5 No. 4 (2025): MALCOM October 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v5i4.2301

Abstract

Diabetes merupakan penyakit metabolisme jangka panjang yang berdampak pada tubuh manusia dengan cara mengubah glukosa darah menjadi energi. Individu yang telah didiagnosis dengan diabetes tidak dapat mengontrol level gula dalam darah, yang akan menyebabkan peningkatan kadar gula darah dan tekanan darah. Penelitian ini bertujuan untuk menganalisis dan membandingkan visualisasi data dari empat model machine learning (Random Forest, Logistic Regression, SVC, dan Gradient Boosting ) dalam prediksi penyakit diabetes. Hasil penelitian ini diharapkan dapat memberikan panduan dalam pemilihan teknik visualisasi yang optimal untuk mendukung interpretasi hasil prediksi diabetes berbasis machine learning, serta meningkatkan efektivitas komunikasi hasil prediksi kepada praktisi medis dan pasien. Hasil penelitian memperlihatkan bahwa Gradient Boosting menempati posisi teratas dengan skor ROC AUC sebesar 0,97, disusul oleh Random Forest (0,94) dan Logistic Regression (0,93), sementara SVC mencatatkan nilai 0,84. Walaupun tingkat akurasi keseluruhan model cukup tinggi (?97%), nilai recall pada kelas positif masih rendah (0,39–0,49), yang menunjukkan adanya kendala dalam mengidentifikasi kasus minoritas pada dataset yang tidak seimbang. Variabel fisiologis, seperti BMI dan HbA1c, terbukti berperan signifikan sebagai prediktor, namun kinerja model diperkirakan dapat meningkat lebih jauh dengan mengintegrasikan faktor perilaku dan riwayat medis yang lebih terperinci.
Perbandingan Model Decision Tree dan Random Forest untuk Penentuan Kesesuaian Lahan Budidaya Cabai dan Terong Amir, Astiah; Fachruddin, Fachruddin; Idris, Fadli; Safriani, Meylis; Saefuddin, Reskiana; Nasution, Indera Sakti; Sanusi, Sanusi; Arisma Siregar, Mawaddah Putri
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 5 (2025): Oktober 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i5.8672

Abstract

Kabupaten Aceh Barat memiliki potensi besar dalam budidaya tanaman hortikultura seperti cabai dan terong, meskipun karakteristik tanah gambut dengan tingkat keasaman tinggi dan variabilitas lingkungan menjadi tantangan utama. Penentuan kesesuaian lahan yang akurat memerlukan analisis berbagai variabel seperti pH tanah, kelembaban tanah dan udara, curah hujan, serta tekstur tanah. Penelitian ini bertujuan mengembangkan model klasifikasi kesesuaian lahan menggunakan algoritma Decision Tree dan Random Forest untuk tanaman cabai dan terong di wilayah tersebut. Data lingkungan dan karakteristik tanah dianalisis menggunakan kedua metode tersebut untuk mengevaluasi performa klasifikasi. Hasil penelitian menunjukkan bahwa algoritma Random Forest unggul dengan akurasi mencapai 99% pada klasifikasi lahan cabai, serta nilai precision dan recall yang lebih tinggi dibandingkan Decision Tree. Untuk klasifikasi lahan terong, kedua algoritma menunjukkan performa sempurna dengan akurasi dan metrik evaluasi mencapai 1.00 tanpa kesalahan klasifikasi. Keunggulan Random Forest terletak pada kemampuannya menangani variabel input yang kompleks dan mengurangi risiko overfitting melalui ensemble pohon keputusan, sehingga menghasilkan prediksi yang lebih stabil dan andal. Dengan demikian, Random Forest sangat cocok digunakan dalam sistem klasifikasi kesesuaian lahan berbasis data lingkungan di Aceh Barat, mendukung pengambilan keputusan budidaya yang lebih optimal dan berkelanjutan. Penelitian ini memberikan kontribusi penting dalam penerapan teknologi machine learning untuk meningkatkan efisiensi dan hasil produksi pertanian di wilayah dengan karakteristik tanah gambut yang menantang.Abstract. Kabupaten Aceh Barat has great potential for cultivating horticultural crops such as chili peppers and eggplants, despite the challenges posed by peat soil characteristics with high acidity levels and environmental variability. Accurate land suitability determination requires analysis of various variables such as soil pH, soil and air moisture, rainfall, and soil texture. This study aims to develop land suitability classification models using Decision Tree and Random Forest algorithms for chili and eggplant crops in the region. Environmental data and soil characteristics were analyzed using both methods to evaluate classification performance. The results show that the Random Forest algorithm outperforms with an accuracy of up to 99% in chili land classification, as well as higher precision and recall values compared to Decision Tree. For eggplant land classification, both algorithms demonstrated perfect performance with accuracy and evaluation metrics reaching 1.00 without any misclassification. The advantage of Random Forest lies in its ability to handle complex input variables and reduce the risk of overfitting through ensemble decision trees, resulting in more stable and reliable predictions. Therefore, Random Forest is highly suitable for use in land suitability classification systems based on environmental data in West Aceh, supporting more optimal and sustainable cultivation decision-making. This study makes an important contribution to the application of machine learning technology to improve agricultural efficiency and production outcomes in regions with challenging peat soil characteristics.
Sosialisasi Komunikasi Informasi dan Edukasi Daerah Rawan Bencana di SMP Negeri 2 Meureubo, Kabupaten Aceh Barat Fazlina, Rita; Dinda, Raina Parmitalia; Idris, Fadli; Fachruddin, Fachruddin; Amir, Astiah; Veranita, Veranita; Sari, Dewi Purnama; Malia, Rezqi; Febrianti, Dian; Farizal, Teuku; Alvisyahri, Alvisyahri; Rinaldy, Rinaldy; Zulyaden, Zulyaden; Agusmaniza, Roni; Rahman, Aulia; Yusra, Andi; Masrura, Delfian
Jurnal Pengabdian Masyarakat: Darma Bakti Teuku Umar Vol 6, No 2 (2024): Juli-Desember
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/baktiku.v6i2.10427

Abstract

The Socialization of Communication, Information, and Education (KIE) for Disaster-Prone Areas in Aceh Barat Regency in 2024 aims to enhance public understanding and preparedness for various natural disasters, such as fires, earthquakes, and tsunamis. This activity is a collaboration between the Regional Disaster Management Agency (BPBD) of Aceh Barat and the Civil Engineering Department lecturers from the Faculty of Engineering, Universitas Teuku Umar. The socialization took place at SMP Negeri 2 Meureubo, with students as the main participants. The program included educational presentations about the risks and mitigation measures for different types of disasters and concluded with an earthquake simulation. The students participated enthusiastically, showing an intense interest in understanding how to protect themselves and respond correctly during a disaster. The earthquake simulation provided participants with the opportunity to practice their ability to react to emergency situations directly. The results of the activity demonstrated an increase in students' awareness and understanding of the importance of disaster preparedness. It is hoped that this program will be continuously implemented in other schools across Aceh Barat to help build a more resilient community in facing future disaster threats.
ANALISIS PENGEMBANGAN DESA PERHUTANAN SOSIAL BERBASIS KOMODITI KOPI MELALUI SUSTAINABLE LIVELIHOOD APPROACH: STUDI KASUS DESA KEKUYANG KECAMATAN KETOL KABUPATEN ACEH TENGAH Aulia, Muhammad Reza; Pramulya, Rahmat; Fachruddin, Fachruddin; Ariska, Nana; Sulindawati, Rishi; Mauliza, Rahma
Jurnal Pertanian Agros Vol 27 No 1 (2025): EDISI JANUARI
Publisher : Fakultas Pertanian Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37159/jpa.v27i1.43

Abstract

The Sustainable Livelihood Approach (SLA) is very relevant in managing coffee commodities in Central Aceh through the Social Forestry program that allows communities to manage forests sustainably. This study used in-depth interviews, focus group discussions (FGDs), and field observations to understand the factors that influence the sustainability of community livelihoods. SLA assesses five main assets, namely natural, human, physical, financial, and social. Although human and physical assets have potential, there is an urgent need to strengthen access to social and financial assets. Limited education, skills, and less solid social networks can hinder community economic development. Although infrastructure and natural resources are supportive, dependence on financial access and cooperation between community members is still a major challenge. To improve community welfare and coffee sustainability, there needs to be increased training and more practical counseling, as well as access to capital through microfinance institutions. Building stronger social networks, with collaboration from external parties such as government and non-governmental organizations, is important to strengthen community solidarity. These steps are expected to increase the economic and social resilience of the community while maintaining environmental sustainability.
SOSIALISASI STRATEGI PENINGKATAN BRANDING PRODUK UMKM BAGI MASYARAKAT DESA LANGUNG KABUPATEN ACEH BARAT Sanusi, Sanusi; Suryadi, Suryadi; Ardiansyah, Muhammad; Suhendra, Rivansyah; Juliwardi, Ilham; Andini, Mirna Ria; Fachruddin, Fachruddin; Isfanda, Isfanda
Insanta : Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 2 (2025): INSANTA: JURNAL PENGABDIAN KEPADA MASYARAKAT, Volume 3 Nomor 2, April 2025
Publisher : LPP ARROSYIDIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61924/insanta.v3i2.83

Abstract

Desa Langung di Aceh Barat dikenal sebagai penghasil kue tradisional khas Aceh, namun pemasarannya masih terbatas secara konvensional. Untuk menjawab tantangan tersebut, dilakukan kegiatan pengabdian masyarakat berupa sosialisasi dan pelatihan digital branding kepada pelaku UMKM. Kegiatan ini bertujuan meningkatkan pemahaman dan keterampilan penggunaan media sosial seperti TikTok dan Instagram untuk memperluas jangkauan pasar. Pelatihan mencakup strategi promosi, pembuatan konten, dan optimalisasi interaksi digital. Hasil kegiatan menunjukkan peningkatan kemampuan peserta dalam memanfaatkan media sosial untuk promosi produk. Program ini berkontribusi dalam transformasi digital UMKM serta pelestarian kuliner lokal. Sosialisasi dan pelatihan ini juga memberikan dampak positif bagi keberlanjutan usaha, dengan mendorong pelaku UMKM untuk terus berinovasi dan adaptif terhadap perkembangan teknologi. Selain itu, kegiatan ini memperkuat kolaborasi antara perguruan tinggi dan masyarakat dalam membangun ekonomi desa berbasis potensi lokal. Diharapkan, inisiatif ini menjadi model inspiratif untuk pengembangan UMKM di wilayah lain.
The Management of Improving The Quality of Academic Services For Students at UIN Syekh Ali Hasan Ahmad Addary Padangsidimpuan Hasibuan, Mulkan; Fachruddin, Fachruddin; Sit, Masganti
Edukasi Islami: Jurnal Pendidikan Islam Vol. 12 No. 03 (2023): Edukasi Islami: Jurnal Pendidikan Islam
Publisher : Sekolah Tinggi Agama Islam Al Hidayah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30868/ei.v12i03.4480

Abstract

IAIN Padangsidimpuan switched to UIN with the letter of the Minister of Religion B-379/MA/OT.00/082021 this was to improve the quality of student academic services. Based on this, this study analyzes the Quality Improvement Management of Student Academic Services. The purpose of this study was to analyze the improvement in the quality of academic services for UIN Padangsdimpuan students. In this study, the authors used a qualitative research approach to Ethnographic Research. Methods of collecting data observation interviews and documentation. Planning for Improving the quality of academic services for UIN Padangsidimpuan students in the 2020-2024 RIP, the program for improving the quality of student academic services is the optimization of digitalization-based student academic services. Organizing the field of digitization or digitalization-based student academic services is entrusted by the Vice Chancellor 1 (academic and institutional fields) assisted by the AAKK Bureau (Academic Administration, Student Affairs and Cooperation). Chancellor of IAIN Padangsidimpuan Number 656 of 2019 concerning SOPs for administrative processes or digital-based academic services. Evaluation of improving the quality of digital-based academic service constraints in other faculties has not been effective.
Entrepreneurship Education Management In Realizing The Independence Of Boarding Schools In Langkat Zaki, Ahmad; Fachruddin, Fachruddin; Nasution, Sahkholid
Edukasi Islami: Jurnal Pendidikan Islam Vol. 12 No. 01 (2023): Edukasi Islami: Jurnal Pendidikan Islam
Publisher : Sekolah Tinggi Agama Islam Al Hidayah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30868/ei.v12i01.4552

Abstract

Every educational institution, including Islamic boarding schools, is facing challenges that arise along with the progress of the times, namely the modernization of education. Every educational institution is required to have a good management system, so that it is able to plan, organize, implement, control and evaluate its own educational institutions. Islamic boarding schools as educational institutions that have been synonymous with conventional management systems and do not keep up with the times, feel the need to make several changes in order to become independent institutions, especially from the aspect of economic independence. One alternative that can be chosen by institutions to achieve institutional independence is entrepreneurship education. Islamic boarding schools that implement entrepreneurship education are Darussaadah Islamic Boarding School Pangkalan Susu and Al-Habib Sei Lepan Islamic Boarding School. This study aims to analyze and find, 1). entrepreneurship education strategy in realizing the independence of Islamic boarding schools, 2). implementation of entrepreneurship education strategies in realizing the independence of Islamic boarding schools 3). implications of entrepreneurship education strategies in realizing the independence of Islamic boarding schools. This research uses a qualitative approach with a multi-site study type. The data collection technique uses in-depth interviews, participant observation and documentation. Data analysis used the Myles Huberman model of data reduction, data presentation, verification and drawing conclusions. Data is analyzed from single site and cross site data. Test the validity of the data through credibility, transferability, dependability and confirmability. The research results show 1). The entrepreneurship education strategy used is student engagement in each stage of entrepreneurial activity and designing meaningful learning, 2). the implementation of entrepreneurship education strategies at Islamic boarding schools uses peer tutorial, trial and error methods and students as entrepreneurship education mentors also use a prophetic approach, namely not basing entrepreneurial activities solely on obtaining financial benefits, but also for spiritual motives, 3). the implications of entrepreneurship education in Islamic boarding schools are increasing economic independence and institutional management as well as increasing the independence of students. The formal finding of this study is that entrepreneurship education is based on the development of aspects of entrepreneurial knowledge (knowledge), entrepreneurial skills (skills), attitudes (attitudes), and individual and environmental spirituality (spirituality).
DETERMINATION OF ORGANIZATIONAL CLIMATE, COMPETENCY, AND COMPENSATION TOWARD JOB SATISFACTION WITH CAREER DEVELOPMENT AS INTERVENING VARIABLE AT IMMIGRATION OFFICE OF BATAM USING PARTIAL LEAST SQUARE Putri, Shinta Buana; Fachruddin, Fachruddin; Wibisono, Chablullah
Zona Manajerial: Program Studi Manajemen (S1) Vol 9 No 1 (2019): Zona Manajerial: Program Studi Manajemen
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (93.761 KB) | DOI: 10.37776/zm.v9i1.238

Abstract

In this study, researchers used respondents data, such as gender, level of education, and class / rank  of respondents to be able to provide information about the characteristics of respondents. Where from the questionnaire distributed questionnaire as many as 169 respondents. This research is the result of a field study to obtain a questionnaire answer data that measures five main variables in this study, namely organizational climate, competency, compensation, job satisfaction and career development. Data analysis with parametric and non parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) regarding research variables, instrument test, normality test, hypothesis test, and discussion of the results of hypothesis testing and Path Path Analysis. This study uses path analysis (path analysis) to test the pattern of relationships that reveal the influence of variables or a set of variables on other variables, both direct influence and indirect influence. Calculation of the path coefficient in this study is assisted by Smart PLS Ver 3.0. To find out the direct and indirect effects between variables, it can be seen from the results of the calculation of the path coefficient while to find out the significance. The results showed work Organizational Climate, Competency, Compensation significantly influence Job Satisfaction Through Career Development at Immigration Office of Batam
Comparison and Data Visualization in Thyroid Cancer Disease Prediction Using Machine Learning Algorithms Yudha, M. Zahran; Jasmir, Jasmir; Fachruddin, Fachruddin
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 1 (2026): MALCOM January 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i1.2249

Abstract

Thyroid cancer is a common endocrine malignancy requiring accurate early prediction for improved patient outcomes. Comprehensive comparative studies of machine learning algorithms, accompanied by systematic visualization, remain limited. This study compares tree-based algorithms (Decision Trees, Random Forest) and boosting algorithms (Gradient Boosting, XGBoost) for thyroid cancer prediction and develops visualization strategies for clinical interpretation. Four algorithms were evaluated using accuracy (correct prediction proportion), precision (positive predictive value), recall (true positive rate), F1-score (harmonic mean of precision and recall), and AUC-ROC (area under the ROC curve). Visualization techniques, including confusion matrices, ROC curves, and feature importance plots, facilitated the interpretation of the model. XGBoost achieved superior performance with accuracy 95.2%, precision 94.8%, recall 95.6%, F1-score 95.2%, and AUC-ROC 0.978, followed by Random Forest (93.5%, 92.7%, 94.1%, 93.4%, 0.965), Gradient Boosting (91.8%, 90.9%, 92.4%, 91.6%, 0.952), and Decision Trees (87.3%, 86.5%, 88.2%, 87.3%, 0.913). Feature importance analysis identified key predictors. Boosting algorithms, particularly XGBoost, demonstrate superior thyroid cancer prediction across all metrics. Integrated visualization enhances clinical interpretability, providing empirical guidance for implementing machine learning-based diagnostic support systems.
Co-Authors AA Sudharmawan, AA Abadi, Cecep Slamet Abidin, Dodo Zaenal Adi Syuriadi Agusmaniza, Roni Ahmad Zaki Aldri Frinaldi Alvisyahri, Alvisyahri Andini, Mirna Ria Arbeni, Wawan Ariska, Nana Arisma Siregar, Mawaddah Putri Astuti, Theresia Widji Aulia Rahman Aulia Rahman Auliya, Nurul Azwardi Azwardi Belyamin Belyamin Beni Irawan Bulan, Ramayanty Candra Damis Widiawaty, Candra Damis Chablullah Wibisono Dahlan Dahlan Delfian Masrura Desi Kisbianty, Desi Devianti, Devianti Dewi Purnama Sari DIAN FEBRIANTI Dinda, Raina Parmitalia Diswandi Nurba, Diswandi Errissya Rasywir Fahrijal, Farkhan Farizal, Teuku fathushahib, fathushahib Fazlina, Rita Februssi, Aditya Hasibuan, Mulkan Hibatullah, Iqmal Ibrahim, Mikhail Claudio Idris, Fadli Indera Sakti Nasution Isfanda, Isfanda Jasmir, Jasmir Juliwardi, Ilham Kusumawati, Andi Malia, Rezqi Masganti Sit Mauliza, Rahma Meylis Safriani Muhammad Ardiansyah Muhammad Hidayat Tullah, Muhammad Hidayat Muhammad Ismail Muhammad Riza Pahlevi Muhammad Usman, Muhammad Muhammad Yasar Mustaqimah Mustaqimah Novianita, Lizza Nuraini, Assyifah Nurfitriani, Antie Nurhadi Pramulya, Rahmad Pramulya, Rahmat Putra, Nobby Darly Dwi Putri, Shinta Buana Rahman, Farhan Maulana Raina Parmitalia Dinda Rinaldy Rinaldy Robin Sirait Saefuddin, Reskiana Sahkholid Nasution Sanusi Sanusi Smarajaya, I Dewa Made Suharmanto, Billy Suhendra, Rivansyah Sulindawati, Rishi Suryadi Suryadi Susanta, Agus Syamsuddin Syamsuddin Utama, Melda Utomo, Machfud Priyo Veranita, Veranita WILLY RIYADI Yovi Pratama Yudha, M. Zahran Yuli Mafendro Dedet Eka Saputra Yusra, Andi yusuf, Ahmad Maulana Zulyaden, Zulyaden