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All Journal Techno.Com: Jurnal Teknologi Informasi PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnas Nasional Teknologi dan Sistem Informasi Sistemasi: Jurnal Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Faktor Exacta CogITo Smart Journal JTERA (Jurnal Teknologi Rekayasa) Jurnal Sisfokom (Sistem Informasi dan Komputer) KACANEGARA Jurnal Pengabdian pada Masyarakat JSiI (Jurnal Sistem Informasi) JURTEKSI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CCIT (Creative Communication and Innovative Technology) Journal Jurnal Pendidikan dan Konseling Jurnal Sistem Informasi dan Informatika (SIMIKA) Jurnal Investasi Indonesian Journal of Electrical Engineering and Computer Science Journal of Computer System and Informatics (JoSYC) Madaniya Idealis : Indonesia Journal Information System SKANIKA: Sistem Komputer dan Teknik Informatika Sekretari & Administrasi (Serasi) Jurnal Teknik Informatika (JUTIF) Teknika Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Pendidikan dan Teknologi Indonesia KLIK: Kajian Ilmiah Informatika dan Komputer Decode: Jurnal Pendidikan Teknologi Informasi Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Jurnal Sisfotek Global Jurnal Algoritma Jurnal Ticom: Technology of Information and Communication Malcom: Indonesian Journal of Machine Learning and Computer Science Telematika MKOM AMMA : Jurnal Pengabdian Masyarakat Jurnal Ticom: Technology of Information and Communication The Indonesian Journal of Computer Science Jurnal Pengabdian Masyarakat Tekno INOVTEK Polbeng - Seri Informatika Jurnal Pintar Pengabdian dan Pemberdayaan Masyarakat
Triyono, Gandung
Universitas Budi Luhur
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OPTIMASI PEMILIHAN QUALITY ASSURANCE CV FORTUNE CLEAN MENGGUNAKAN METODE TOPSIS Annisa Putri Gita Cahyani; Naurah Huwaida; Gandung Triyono
Jurnal Sistem Informasi dan Informatika (Simika) Vol. 9 No. 1 (2026): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/dxeh2n20

Abstract

CV Fortune Clean, a company providing cleaning services and products, requires Quality Assurance (QA) professionals to ensure the optimal performance of technological and system updates in its internal applications, which are vital for business processes such as inventory management and service scheduling. The previous recruitment process, reliant on manual CV screening and subjective interviews, took up to four months to identify truly competent candidates, causing delays in application updates and potentially hindering operational efficiency. To address this issue, this study designs a Decision Support System (DSS) based on the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. TOPSIS was chosen for its ability to evaluate candidates based on their proximity to an ideal solution, considering technical criteria and non-technical criteria (e.g., problem-solving and communication skills). The DSS implementation reduced recruitment time from four months to one month, enhanced selection accuracy by minimizing subjective bias, and proved more consistent than manual methods in comparative simulations. The TOPSIS system also improved transparency and objectivity in the selection process, optimizing recruitment duration and enhancing the quality of QA personnel to support the reliability of internal applications critical to business operations.
Analysis of the Influence of System QuaAnalysis of the Influence of System Quality, Information Quality, and Service Quality on User Satisfaction of Payment Systems Using Virtual Accountslity, Information Quality, and Service Quality on User Satisfaction of Payment Systems Using Virtual Accounts Azrul Azmani; Tutik Lestari; Muhammad Dzakky Ikhwani Imaduddin; Ajinarasena Hermanu; Gandung Triyono
JURNAL SISFOTEK GLOBAL Vol 16, No 1 (2026): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v16i2.16034

Abstract

This study aims to analyze the influence of system quality, information quality, and service quality on user satisfaction in virtual account payment systems implemented at Pesantren Darunnajah. The increasing adoption of digital payment solutions in educational institutions underscores the need for reliable systems that ensure convenience, security, and efficiency. Using the Technology Acceptance Model (TAM) as a theoretical framework, data were collected through a survey of 36 respondents, including guardians and staff, and analyzed using multiple linear regression. The findings reveal that system quality, information quality, and service quality all have a significant positive effect on user satisfaction, with service quality emerging as the most influential factor. These results highlight the importance of responsive support and accurate information in enhancing user experience. The study contributes to the literature on digital payment adoption in Islamic educational institutions and provides practical insights for improving service delivery. Future research should explore additional factors such as security, interface design, and user trust to broaden understanding of technology acceptance in similar contexts.
PENERAPAN K-MEDOIDS UNTUK MENGELOMPOKKAN HARGA JUAL IKLAN Kristiyantho, Yutdhi; Triyono, Gandung; Novandy, Axel
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 11, No 1 (2026)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v11i1.7414

Abstract

Penjualan dan pemesanan produk berupa iklan menjadi hal yang sangat penting nilainya bagi perusahaan. Peningkatan penjualan iklan akan mempengaruhi keuntungan dan pemasukan perusahaan. Pada penelitian dalam pengelompokkan harga penjualan menggunakan metode k-medoids dengan tahapan analisis data sebanyak 500 data, pra-pemrosesan (preprocessing) data dengan tahapan data cleaning atau pembersihan dari data yang tidak valid, salah, atau kosong. Kemudian transformasi data dengan mengubah platform online menjadi 0 dan print menjadi 1. Tahapan selanjutnya adalah perhitungan manual dengan algoritma k-medoids dan implementasi pada aplikasi rapidminer. Pengelompokkan menghasilkan 2 cluster yaitu cluster 1 berjumlah 68 items dan cluster 2 berjumlah 432 items. Harga yang terdiri dari (before_discount, after_discount, tax, dan after tax) dari cluster 1 lebih tinggi dari cluster 2. Cluster 1 juga mempunyai jumlah kelompok data yang lebih sedikit dibandingkan dengan cluster 2. Hal ini menunjukkan bahwa harga mempengaruhi penjualan iklan, harga yang murah akan lebih banyak dipesan. Sedangkan platform dengan nilai 0 atau online  lebih banyak dipesan oleh cluster 2 dengan data pengelompokkan terbanyak. Hal ini juga menunjukkan bahwa online lebih banyak dipesan karena banyak terdapat pada cluster 2. Hasil tersebut dapat menjadi acuan bagi perusahaan untuk menentukan kebijakan dan strategi dalam penjualan atau pemesanan iklan agar lebih banyak mendapatkan keuntungan dan pemasukan.
ANALISIS PERBANDINGAN MODEL NAÏVE BAYES DAN C4.5 UNTUK PREDIKSI STROKE BERDASARKAN RIWAYAT DATA MEDIS DENGAN PENDEKATAN MATRIKS KORELASI Samuel, Samuel; Idmi, Idmi; Triyono, Gandung
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.8653

Abstract

Stroke merupakan satu diantara penyakit mematikan yang bisa terjadi secara mendadak dan bisa menyebabkan kematian/kecacatan. Prediksi dini risiko stroke sangat krusial guna mendukung tindakan an-tisipasi dan penanganan yang tepat. Penelitian ini membandingkan akurasi dua algoritma klasifikasi, yaitu Naive Bayes dan C4.5, dalam memprediksi risiko stroke berdasarkan data medis pasien. Metode pemilihan atribut menggunakan matriks korelasi diterapkan untuk memilih fitur yang paling relevan guna meningkatkan akurasi model. Data yang digunakan merupakan dataset stroke dari situs Kaggle. Hasil penelitian memperlihatkan penerapan matriks korelasi sebagai teknik seleksi atribut meningkatkan akurasi kedua algoritma. Algoritma C4.5 memberikan akurasi tertinggi men-capai 95%. Atribut yang berpengaruh signifikan dalam prediksi stroke antara lain tipe tempat tinggal, jenis kelamin, penyakit jantung, hipertensi, rata-rata kadar glukosa, dan status merokok. Dengan demikian, kombinasi seleksi fitur berbasis matriks korelasi dan algoritma C4.5 efektif untuk membangun model prediksi risiko stroke yang akurat dan dapat menjadi alat bantu diagnosis medis
Pelatihan Komputer Untuk Santri Pondok Pesantren Tahfidzul Qur’an Wahidin Halim Mardi Hardjianto; Lis Suryadi; Dolly Virgian Shaka Yudha Sakti; Gandung Triyono
AMMA : Jurnal Pengabdian Masyarakat Vol. 4 No. 1 : Februari (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This Community Service activity was carried out in collaboration with the Wahidin Halim Tahfidzul Qur'an Islamic Boarding School, an Islamic boarding school located on Jl. H. Gillan RT. 003/RW. 001, Pinang District. Pinang, Tangerang City, Banten 15145. Currently, our partners are struggling to overcome problems arising from the lack of computer training for students. To overcome this problem, we held face-to-face computer training sessions at the ICT Laboratory of Budi Luhur University. The survey evaluation showed that more than 85% of participants felt that the activity was useful, easy to understand, effective, and met their expectations. Therefore, it can be concluded that this activity provides the right solution to partner problems.
Pemanfaatan LMS Moodle Sebagai Media Pembelajaran Daring Bagi Santri Pondok Pesantren Tahfidzul Qur’an Wahidin Halim Achmad Syarif; Lis Suryadi; Gandung Triyono
AMMA : Jurnal Pengabdian Masyarakat Vol. 4 No. 6 : Juli (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The use of information technology in the world of education is an important need, especially in the context of online learning. The Tahfidzul Qur'an Wahidin Halim Islamic Boarding School faces challenges in organizing effective and structured online learning. This community service activity aims to introduce and implement the Learning Management System (LMS) Moodle as an online learning medium for students. The partner for this activity is the Tahfidzul Qur'an Wahidin Halim Islamic Boarding School with a total of 45 students and 5 teachers involved. The implementation method includes training, technical assistance, and evaluation through questionnaires. The results of the activity showed that 87% of participants stated that the LMS Moodle was very helpful in the online learning process, and 76% of teachers were able to independently upload materials and create discussion forums. This activity shows that the use of the LMS Moodle can increase the effectiveness and interactivity of online learning in the Islamic boarding school environment
PKM : Program Pemberdayaan Masyarakat Dalam Rangka Mewujudkan Masyarakat Peduli Lingkungan Agus Umar Hamdani; Putri Hayati; Gandung Triyono; Lis Suryadi
AMMA : Jurnal Pengabdian Masyarakat Vol. 5 No. 1 : Februari (2026): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Community Service Activities (PKM) were initiated in response to environmental problems in residential areas, including limited greening facilities and suboptimal household waste management, particularly inorganic waste with potential functional and economic value. The lack of public awareness and recycling skills has contributed to declining environmental quality and minimal green open spaces. This program aimed to enhance community awareness and participation in environmental preservation through the utilization of recycled waste as planting media and the application of simple technologies based on vertical gardens and hydroponics. Methods included preliminary surveys, stakeholder interviews, counseling, hands-on training, mentoring, and evaluation using community satisfaction questionnaires. The results indicated an improvement in community knowledge and skills in processing inorganic waste into useful products, such as plant pots made from used plastic bottles. Pilot installations of vertical gardens and hydroponic systems also improved environmental aesthetics and served as sustainable educational media. Evaluation results showed that out of 50 respondents, 82% strongly agreed and 18% agreed with the implementation of the program, with no negative responses recorded. This indicates that the program had a highly positive impact and was well received by the community. Overall, the program contributed to enhancing environmental awareness, social participation, and community self-reliance in creating a clean, green, and productive environment, with strong potential for sustainable replication.
Decision Support System for Addressing Demotivated Students: A Comparative Analysis of SAW and TOPSIS Methods Reza Ariftiarno; Gandung Triyono; Ery Rinaldi
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 11 No. 2 (2023): September 2023
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v11i2.7049

Abstract

Abstract This study aims to determine the most optimal decision support system method and decision alternatives in the Accounting and Management study program, University of X which has experienced a decrease in learning interest or demotivation so that the study program can take special care for these students to continue studying. The methods used in this study are the SAW and TOPSIS methods with the criteria of GPA, time of study, parents' income, and distance from home. The test results show that the SAW method has the highest preference value compared to the TOPSIS method of 0.992 so it is feasible to apply in the Accounting and Management study program, University X, Bogor City. Penelitian ini bertujuan untuk menentukan metode sistem pendukung keputusan yang paling optimal serta alternatif keputusan di program studi Akuntansi dan Manajemen, Universitas X yang mengalami penurunan minat belajar atau demotivasi sehingga pihak program studi dapat mengambil penangan khusus terhadap mahasiswa tersebut agar tetap melanjutkan perkuliahan. Metode yang digunakan pada penelitian ini, yaitu metode SAW dan TOPSIS dengan kriteria IPK, waktu studi, pendapatan orang tua, dan jarak rumah. Hasil uji menunjukan bahwa metode SAW memiliki nilai preferensi paling tinggi dibanding metode TOPSIS sebesar 0,992 sehingga layak diterapkan di program studi Akuntansi dan Manajemen, Universitas X, Kota Bogor.
Penerapan Metode Simple Additive Weighting (SAW) Dalam Pemilihan Supplier Terbaik Pada Industri Manufaktur Zaenul Muttaqin; Dini Handayani; Gandung Triyono
Teknika Vol. 13 No. 3 (2024): November 2024
Publisher : Center for Research and Community Service, Institut Informatika Indonesia (IKADO) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/teknika.v13i3.1024

Abstract

Memilih supplier didalam rantai pasok industri manufaktur merupakan hal yang sangat penting untuk keberhasilan operasional dan daya saing perusahaan, karena mempengaruhi biaya, efisiensi, kualitas produk, kepuasan pelanggan, dan reputasi perusahaan. Dalam konteks globalisasi dan kompleksitas rantai pasok yang meningkat, berbagai kriteria seperti kualitas produk, ketepatan waktu pengiriman, dan kepatuhan terhadap standar internasional seperti International Organization for Standardization (ISO) 22000:2018 dan ISO 9001:2015 harus dipertimbangkan untuk memastikan pemenuhan kebutuhan jangka pendek serta keberlanjutan operasional jangka panjang. Penelitian ini bertujuan mengatasi masalah pemilihan supplier terbaik dengan menerapkan metode Simple Additive Weighting (SAW), yang efisien dalam mengevaluasi kriteria relevan. Langkah awal melibatkan identifikasi kriteria penilaian yang relevan seperti kualitas, waktu pengiriman, dan kepatuhan standar ISO, kemudian memberikan bobot pada setiap kriteria berdasarkan tingkat kepentingannya. Data kinerja supplier dikumpulkan secara sistematis dan diproses melalui metode Simple Additive Weighting (SAW) untuk menghasilkan peringkat relatif dari setiap supplier. Hasil penelitian menunjukkan supplier V7 memperoleh peringkat tertinggi dengan nilai 50,8, memberikan kontribusi berharga dalam pemahaman dan pemilihan supplier terbaik dalam konteks keandalan, kualitas, dan kepatuhan standar industri, serta menunjukkan bahwa penggunaan metode Simple Additive Weighting (SAW) meningkatkan efisiensi perhitungan dan pengelolaan data.
Application of the Simple Additive Weighting Method in the Selection Process for Recipients of the 1000 Anak Negeri Scholarship at Nusa Putra University Rahmat Hidayat; Gandung Triyono; Dara Putri Oktiara
Teknika Vol. 14 No. 1 (2025): March 2025
Publisher : Center for Research and Community Service, Institut Informatika Indonesia (IKADO) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/teknika.v14i1.1194

Abstract

The 1000 Anak Negeri Scholarship at Nusa Putra University supports outstanding students from underprivileged families, yet its manual selection process is inefficient, subjective, and lacks transparency, leading to delays and potential misjudgments. This study aims to develop a Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to enhance the accuracy, efficiency, and fairness of scholarship selection. The system evaluates applicants based on eight criteria: poverty status, parental occupation, income, family dependents, parental status, academic achievement, non-academic achievement, and Quran recitation ability, with assigned weights ensuring objective ranking. The SAW method normalizes decision matrices and calculates final scores to determine recipients, significantly improving efficiency and transparency compared to manual selection. The top-ranked recipient achieved a final score of 0.7765, followed by scores of 0.743, 0.625, 0.6105, and 0.584, demonstrating a more structured and reliable selection process. The automated approach reduces processing time, minimizes human errors, and ensures systematic selection based on predefined criteria. This research confirms that the SAW method provides a more accurate and reliable decision-making process, making scholarship distribution fairer and more targeted. The implementation of this system at Nusa Putra University serves as a model for other educational institutions to optimize their scholarship selection processes, ensuring that financial aid reaches students who need it most while improving transparency, efficiency, and decision-making accuracy.
Co-Authors - Sumardianto Abdul Hamid Abdurrahman, Faris Nur Achmad Ardiansyah Achmad Solichin Achmad Syarif Adhi, Ajar Parama Aditya Ikhbal Maulana Agus Umar Hamdani Aji Guntoro Ajinarasena Hermanu Al Ghozali, Isnen Hadi Al-akbari, Munawir Fikri Amirudin Amirudin Ananda Dian Nugraha Angga Prasetyo Angga Prasetyo Anggita Pamukti Anggraini Ujianti Annisa Hanifa Annisa Putri Gita Cahyani Anwarsyah, Anwarsyah Arif Pirman Aris Subagyo, Wismoyo Asep Lukman Arip Hidayat Assegaf , Noval Azizi, Hibatul Azrul Azmani Chaerul, Muh Coudry Bernadeth Dana Indra Sensuse Daniel Iskandar Dara Putri Oktiara Dede Wahyu Saputra Dermawan Ginting Devy Fatmawati Dini Astuti Dini Handayani Djafar, Muhammad Agung A. Djati Kusdiarto Dolly Virgian Shaka Yudha Sakti Dwi Kristanto Dyah Puji Utami Dzakiyyah, Syifa Ghina Effendi , Muhtar Eliyani, Eliyani Ery Rinaldi Eva Yulyanti Fachrurozy, Achmad Fadel, Muhamad Fahlevi, Noval Fajriah, Riri Febri Maulana Febrianti, Rizkia Saski Feby Lukito Wibowo Firmansyah, Maulana Gilang Ramadhan Hadi rahadian Hafiz, Rahmad Hakim, Sulaiman Hardjianto, Mardi Helmi Zulqan Henny Hikmah, Maulida Idam Risnaputra Idmi, Idmi Iman Permana, Iman Indra Indra Jotri Firdani Maharaja Juhari Juhari, Juhari Jumaryadi, Yuwan Kanasfi, Kanasfi Kiki Ari Suwandi kosasih Kristiyantho, Yutdhi Lestari, Triardani Lis Suryadi Lis Suryadi, Lis Lutfan Lazuardi Luthfi Mawardi M. Azmi Mahendra Mahendra, M. Azmi Malik Aziz Habibie Marentek, Billy Maruanaya, Greghar Juan Tjether Maskur A, Moch Riyadi Masnuryatie, Masnuryatie Maulana Firmansyah Maya Asmita Maya Gian Sister Megananda Hervita P. Melyana, Melyana Mepa Kurniasih MHD. Reza M.I. Pulungan Moch. Rezaf Ivanka Haris Mohammad Aldinugroho Abdullah Mohammad Syafrullah Muhamad Dikhi Rohman Muhamad Rizky Syawalludi Muhammad Dzakky Ikhwani Imaduddin Munandar, Muhamad Arief Naurah Huwaida Ningrum, Sekar Ayu Novandy, Axel Nurhikmah, Suci Nurjanah, Septiana Ono Taryono Pebry, Fachry Ajiyanda Pipit Ari Mufidah Prasetia, Andika Rohman Prasetyo, Angger Totik Putri Hayati putri yani, putri Rahmat Hidayat Ramadani, Romi Reza Ariftiarno Ridho Firmansyah Ridho Putra Kusmanda Riki Ramdani Saputra Rima Tamara Aldisa Rinto Prasetyo Adi Riski Amalia Rita Fransina Maruanaya Rizka Pitriyani Rizky Adhi Saputra Rizky Fernanda Aprianto Rizky Tahara Shita Rojakul, Rojakul Rudi Hidayat Ryan Prasetya Safrina Amini Samuel Samuel Septiadi, Septiadi Setyadin, Rahmat Dipo Shindy Yuliyatini Sigit Ari Prasetyo Siswahyudianto Sittah Ifadah Sri Hartati Sri Melati Subekti, Yogi Agung Sudiyatno Yudi Nugroho Sufyan Asaury, Akhmad Suriah Setiana Widiastuti SURYANI Syarif Hidayatulloh Tansya Ingmukti Tunggal Saputra, Tri Aji Tutik Lestari Umar Alfaruq Utomo Budiyanto Vasthu Imaniar Ivanoti Wahyu Adi Setyo Wibowo Wahyu Cesar Wahyuningram, Nugroho Warih Dwi Cahyo Wawan Gunawan Widyanto, Tetrian Wilsen Grivin Mokodaser Winasis, Reza Handaru Wisanto, Aditya Agus Wisnu Cahyadi Wulan Trisnawati Yasmin , Nadia Yeros Fathullah Achmad Yulia Nita Zaenul Muttaqin Zainal Arifin