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Peranan Alumni Ilmu Komunikasi Penyiaran Islam dalam Pengembangan Dakwah Islamiyah di Kota Padangsidimpuan: Studi Kasus Fakultas Dakwah dan Ilmu Komunikasi IAIN Padangsidimpuan Amran, Ali; Agustin, Oriza; Ritonga, Anas Habibi; Wijaya, Muhammad Rudi
Tapis: Jurnal Penelitian Ilmiah Vol 3 No 2 (2019): Tapis : Jurnal Penelitin Ilmiah
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat of Universitas Islam Negeri Jurai Siwo Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32332/tapis.v3i2.1627

Abstract

The low alumni of the Department of Islamic Broadcasting Communication (KPI) who have roles in accordance with their educational competence as preachers and religious instructors have the effect of lack of contribution in the development of Islamic da'wah, one of which is in Padangsidimpuan City. This affects the interest of the community and the future development of the KPI Department. This research was conducted to determine the driving and inhibiting factors of the role of KPI Department alumni in developing Islamic da'wah in Padangsidimpuan. This qualitative research uses a descriptive exploratory method in the form of field studies in the City of Padangsidimpuan. The results revealed that there was a role for alumni in the development of Islamic da'wah in Padangsidimpuan City as a preacher / religious preacher and religious instructor according to his competence. This role is driven by the mastery of propaganda material and good character, and the ability to socialize with the community. However, there are still weaknesses in mastering fiqh material and the lack of relationships in society.
Pemanfaatan Limbah Kain Songket Desa Limbang sebagai Produk Bernilai Ekonomi Suprihatin, Bambang; Maiyanti, Sri Indra; Primartha, Rifkie; Amran, Ali; Desiani, Anita; Sari, Puspa
Aksiologiya: Jurnal Pengabdian Kepada Masyarakat Vol 9 No 4 (2025): November
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/aks.v9i4.26346

Abstract

Desa Limbang Jaya merupakan desa pengerajin kain songket di Sumatera Selatan. Mayoritas perempuan di desa ini bekerja sebagai pengerajin songket. Seorang pengerajin di Desa Limbang Jaya dapat menenun 3 hingga 4 helai kain berukuran 50-80 cm setiap bulannya. Setiap kain melalui proses pemotongan yang menyisakan berupa potongan kecil kain. Limbah songket biasanya dibuang atau dibakar, padahal limbah ini dapat diolah menjadi produk kerajinan yang memiliki nilai jual dengan menggunakan teknik menjahit seperti patchwork dan quilting. Kegiatan yang dilakukan berupa pelatihan dalam pengolahan limbah kain songket dengan menerapkan teknik patchwork dan quilting untuk menghasilkan produk dengan nilai jual. Kegiatan ini ditujukan pada penduduk perempuan khususnya pengrajin songket untuk meningkatkan keterampilan dalam mengolah limbah kain songket. Kegiatan pengolahan limbah sampah di desa Limbang Jaya belum pernah dilakukan. Tahapan kegiatan ini terdiri dari observasi, persiapan kegiatan, penyampaian materi, pelatihan, pendampingan, dan evaluasi. Kegiatan ini berhasil meningkatkan secara signifikan pemahaman dan keterampilan praktis peserta, yang diindikasikan oleh kenaikan nilai rata-rata post-test sebesar 38% dan dihasilkannya produk prototipe yang memiliki nilai jual. Hal ini mengindikasikan peningkatan pemahaman dan keterampilan peserta dalam pengolahan limbah kain songket dengan menerapkan teknik patchwork dan quilting yang menandakan keberhasilan dari kegiatan ini. Kegiatan ini dapat mendorong pembentukan usaha kreatif berbasis limbang songet yang dapat meningkatkan perekonomian masyarakat di Desa Limbang Jaya dalam jangka panjang.
Navigating Flexible Work Arrangements to Foster Sustainable Growth through Adaptive Innovation Amran, Ali; Arifuddin, Arifuddin; Asril, Akmil
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6602

Abstract

This study examines the impact of flexible work arrangements on innovation and sustainable growth in companies. Flexible working hours allow employees to set their own schedules and decide where and when they work most effectively. This allows them to spend more time at home or in the lab. Detaching the office helps increase productivity, creativity, and employee happiness. However, flexible office models and innovative product breakthroughs have become successful models, leading to success for their practitioners in every way. This study employed a mixed-methods approach, using questionnaires to collect data from 400 organizations across various industries. We also interviewed top managers in five cases. The results show that organizations that adopt flexible work significantly improve their ability to innovate. In technology, financial services, and manufacturing, organizations that work on innovative projects with at least one employee have shortened the overall time to market for new products while launching more successful products. Furthermore, improving employee quality of life is associated with higher levels of employee satisfaction, as employees enjoy their work more, which is beneficial for all parties involved. Furthermore, cyber leadership and digital collaboration technologies are key tools for the success of flexible work arrangements. The results of this study show that in terms of helping companies survive and thrive, adaptive work patterns are not only beneficial but also provide a competitive advantage for our organization over others in an already crowded market.
Comparison of Adaptive Boosting and Categorical Boosting in Heart Attack Diagnosis Amran, Ali; Suryani, Suryani; Fathinah, Nadiva Azro; Desiani, Anita; Ramayanti, Indri
Journal of Artificial Intelligence and Software Engineering Vol 6, No 1 (2026): Maret
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v6i1.9051

Abstract

Heart disease is one of the leading causes of death worldwide, and therefore, accurate early detection methods are needed to help reduce mortality rates. One approach that can be applied is machine learning using classification techniques based on ensemble boosting algorithms. This study aims to compare the performance of two ensemble algorithms, namely Adaptive Boosting (AdaBoost) and Categorical Boosting (CatBoost), in classifying heart attack disease. The labels used in this study are positive and negative. The evaluation process was conducted using two testing techniques: percentage split with a ratio of 80% training data and 20% testing data, and 10-fold cross-validation. Model performance was evaluated based on accuracy, precision, and recall to comprehensively measure classification capability. The results show that in the percentage split method, CatBoost achieved the highest accuracy of 98.88%, while in k-fold cross-validation it reached 98.43%. Nevertheless, AdaBoost also demonstrated good performance, with all evaluation metrics exceeding 90%. Therefore, the best-performing model in this study is CatBoost with the k-fold cross-validation technique on the heart attack dataset.
Transformasi Menuju Industri 4.0: Perspektif Praktisi Mengenai Kebutuhan Transisi Digital dengan Penerapan Papan Visualisasi Manajemen pada Lantai Produksi Amran, Ali; Arifuddin; Asril, Akmil
Jurnal Manajemen dan Teknologi Vol. 3 No. 1 (2026): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jmt.v3i1.1854

Abstract

The development of Industry 4.0 has pushed manufacturing firms to accelerate information flow, improve decision accuracy, and reorganize communication on the shop floor. This study aims to analyze practitioners’ perspectives on the need for digital transition through the use of management visualization boards. A qualitative case study design was applied through 12 semi-structured interviews, 9 observations of production briefings, and a review of 18 supporting documents. The findings show that management visualization boards still function as the main medium of daily operational communication because they help teams review targets, discuss problems, and determine corrective actions quickly. Manual boards were considered superior for briefing flexibility, especially for marking issues, drawing arrows, and making short sketches during discussion. However, manual data updates were time-consuming, created duplicate recording, and made problem histories difficult to trace. Digital boards were seen as neater, easier to monitor, and more supportive for reading trends, but they could not fully replace manual boards because they did not yet support spontaneous discussion and not all data were automatically integrated. Practitioners mainly expected faster data updates, lower administrative burden, stored action histories, and cross-shift and cross-unit information access. These results indicate that digital transition should proceed carefully in production environments overall.
Analisa Kandungan SiO2, CaO, dan MgO dalam Pasir Menggunakan Cara Kerja SNI 2049:2015 Alfikri, M.; Amran, Ali
TSAQOFAH Vol 6 No 3 (2026): MEI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/tsaqofah.v6i3.9116

Abstract

The analysis of mineral oxide content in sand plays an important role in determining the quality of raw materials for the chemical and construction materials industries, yet the application of conventional methods based on national standards remains relatively limited compared with the use of modern instruments. This study aimed to analyze the content of silicon dioxide (SiO₂), calcium oxide (CaO), and magnesium oxide (MgO) in sand using a gravimetric method in accordance with the SNI 2049:2015 procedure. A quantitative approach with a laboratory experimental design was employed, in which sand samples were analyzed through successive stages of dissolution, precipitate separation, ignition, titration, and weighing of the pure compound residues. Data were obtained from gravimetric and volumetric measurements and were analyzed quantitatively based on the stoichiometric relationships of the chemical reactions. The results showed that the SiO₂ content reached 84.0%, while CaO and MgO were 1.16% and 1.13%, respectively, indicating the dominance of silica in the sand composition with relatively low levels of basic oxides. These findings confirm that the gravimetric method based on the national standard is capable of producing accurate and consistent data for sand mineral characterization, thereby reinforcing the potential use of sand as a raw material for high-silica-based industries.
Analisis Proximate (Moisture in Analysis dan Volatile Matter) dan Kadar Sulfur pada Batubara Jounza, Naomi Rahma Dania; Amran, Ali
TSAQOFAH Vol 6 No 3 (2026): MEI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/tsaqofah.v6i3.9922

Abstract

Coal quality testing is important to determine fuel characteristics before use for industrial purposes. This study aims to analyze the values of Moisture in Analysis, Volatile Matter, and total sulfur content in coal samples through laboratory practice at PT SUCOFINDO Padang Branch. This study used a quantitative descriptive approach with a laboratory practice method. Data were collected through duplicate testing of coal samples using an oven, VM furnace, sulfur furnace, analytical balance, desiccator, aluminum crucible, Volatile Matter crucible, and sulfur crucible. The results showed that the Moisture in Analysis values in the coal samples were 27% and 22%, with an average of 24.5%. The Volatile Matter values obtained were 81% and 66%, with an average of 73.5%. Meanwhile, the results of total sulfur content analysis showed the same value in the two replications, namely 1.67%. These findings indicate that the coal samples had relatively high moisture and volatile matter contents, as well as sulfur content that needs attention because it may affect combustion efficiency, industrial equipment, and the environment. The conclusion of this study confirms that proximate analysis and sulfur content testing play an important role as a basis for assessing coal quality in industrial laboratories. The practical contribution of this study lies in strengthening understanding of coal quality testing procedures that are relevant to supporting the evaluation of industrial fuel quality.
Comparison of Support Vector Machine and K-Nearest Neighbors in Breast Cancer Classification Anita Desiani; Adinda Ayu Lestari; M Al-Ariq; Ali Amran; Yuli Andriani
Pattimura International Journal of Mathematics (PIJMath) Vol 1 No 1 (2022): Pattimura International Journal of Mathematics (PIJMath)
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (470.745 KB) | DOI: 10.30598/pijmathvol1iss1pp33-42

Abstract

Cancer is one of the leading causes of death, and breast cancer is the second leading cause of cancer death in women. One method to realize the level of malignancy of breast cancer from an early age is by classifying the cancer malignancy using data mining. One of the widely used data mining methods with a good level of accuracy is the Support Vector Machine (SVM) and K-Nearest Neighbors (KNN). Evaluation techniques of percentage split and cross-validation were used to evaluate and compare the SVM and KNN classification models. The result was that the accuracy level of the SVM classification method was better than the KNN classification method when using the cross-validation technique, which is 95,7081%. Meanwhile, the KNN classification method was better than the SVM classification method when using the percentage split technique, which is 95,4220%. From the comparison results, it can be seen that the KNN and SVM methods work well in the classification of breast cancer.
PENINGKATAN SKILL SISWA TUNARUNGU MELALUI PELATIHAN PATCHWORK DAN QUILTING BERBASIS APLIKASI SIGN TALK DI SLB-B YPAC PALEMBANG Anita Desiani; Bambang Suprihatin; Ali Amran; Yadi Oktariansyah; Siti Rusdiana Puspa Dewi; Jonatan Jonatan; Slamet Prayogo; Lonamonika Sinabutar
Jurnal AbdiMas Nusa Mandiri Vol. 8 No. 2 (2026): Periode April 2026
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/abdimas.v8i2.7965

Abstract

Skill development for deaf students at SLB-B YPAC Palembang still faces significant challenges, particularly due to communication barriers between teachers and students that hinder knowledge transfer. This community service program aims to enhance hard skills (technical sewing skills in patchwork and quilting) as well as soft skills (communication, teamwork, and independence) through the integration of an Artificial Intelligence (AI)-based application called Sign Talk. The implementation method was carried out through a workshop and intensive mentoring scheme over 4 months, which included 3 main training sessions, each lasting 120 minutes, for 15 deaf students. Evaluation was conducted using pre-test and post-test instruments analyzed descriptively. The results of the activity showed an increase in students’ soft skills of 40.5%. For hard skills, specifically sewing competencies, there was a 23.31% increase. Although 90% of participants rated the Sign Talk application as very helpful in understanding instructions during the activity, further development of the Sign Talk vocabulary is needed. Additionally, this activity can be expanded to include other hard skill trainings with Sign Talk serving as the communication medium.
Co-Authors Abd Ghafar bin Don Abdul Hamid Adha, Yuni Adi Suparwo Adinda Ayu Lestari Agus Nurofik Agustin, Oriza Agustina, Silpia Ahmad Nizar Rangkuti Ajeng Islamia Putri Aji Pangestu, Moch. Rizqi Akmil Asril Al Himam, Wasik Alfensi Faruk Alfikri, M. Alga Mahida Ali, Rizkia Salsabila Andika, Jaya Dwi Anita Desiani Aprilia, Wahyu Nur Apriyani, Eka Ardi Ardi Ardiansah, Moh. Musayarof Ardila, Nebi Arhami, Muhammad Arifanti, Anggita Dwi ARIFUDDIN Arifuddin Arifuddin Aris Wibowo Arsyad. H, Muhammad Iqbal Astutik Astutik Aulita, Rida Nur Ayuputri, Niken Bambang Suprihatin Bambang Suprihatin Bambang Suprihatin Batubara, Gracia Mianda Caroline Budhi Oktavia Budi Hardjayanti, Nany Calista, Nur Avisa Carolina Rahman Chairu Nisa Apriyani Chairunnisa Siregar, Fitri Danny Matthew Saputra Danny Matthew Saputra Des Alwine Zayanti, Des Alwine Deski Beri Desy Kurniawati Dewi Lestari Dwi Putri Dewi, Deshinta Arrova Dewi, Herdiyanti Kusuma` Dewi, Novi R. Dewi, Sri W K Dewi, Sri Wijaya Kesuma Dewi, Srie Wijaya Kesuma Dian Cahyawati Diana, Siti Nur Diani Syahputri Dina Suzzete Sitorus Diyah Hoiriyah Doni Purnama Alamsyah Drajat, Devi Yuniati Dwifa, Dima Endang Sri Kresnawati Endro Setyo Cahyono, Endro Setyo Enyta Yuniar Ermatita - Erwin, Erwin Evi Yuliza, Evi Faishal Fitra Ramadhan Fathinah, Nadiva Azro Fikri, Sholeh Firdaus, Firman Aditya Fitria, Yaumul Ganafri, Ganafri Geovani, Dite Habib Syukri Nasution HARDIMANSYAH HARDIMANSYAH Harmaiyani, Risky Hasibuan, MS Hendri, Novi Henisaniyya, Nabila Hermansyah Hermansyah Hermansyah Hervi, Fauziah Hoiri, Sajiril Icol Dianto Indah Verdya Alvionita Indra Maiyanti, Sri Indri Ramayanti Irmeilyana Irsyadi Yani Isnaeni Isnaeni Jonatan Jonatan Jounza, Naomi Rahma Dania KHAIRUL HUDA, KHAIRUL Komalasari, Yunika Kosasih, Ahmad Kresnawati, Endang S. Kurniawan, Adang Latifah, Dede Lesmana, Gusman Lili Nur Indah Sari Lonamonika Sinabutar Luckieta, Meiliani Lufri Lufri M Al-Ariq Makhalli, Siddiq Mandra Saragih, Mandra Mara Samin Lubis Mariam Nasution Marselina, Nyanyu Chika Maya Meilensa Mega Fatimah Rosana Mega Tiara Putri MS Hasibuan Muhammad Akbar Muhammad Awaludin Djohar Muhammad Azwar Annas Muzakir, Adi Napitu, Michael Jackson Ngudiantoro . Ning Eliyati Ningsih, Lesnida Nisa, Yustia Fitrotul Nopri Nasir Novi Rustiana Dewi NUNI GOFAR Nur Avisa Calista P.A, Novia Lestari Pelatin, Agustinus Doni Permana, Hendrik Pertiwi, Citra Pratiwi, Ananda Puspa Sari, Puspa Putri Pratiwi Putri, Ajeng Islamia putri, amanda Putri, Yogi Arditya Candani Rahadian Zainul Rahmadi, Egi Rahmatullah, Rohim Ramadhan, Bima Lintang Ramadhani, M. David Rambe, Ifrah Hayani RAMBE, SOJUANGON Redina An Fadhila Chaniago Rifki Kurniawan Rifkie Primartha Rizki, Fatur Rofily Putriyandari, Rofily Rohmah, Khoirur Rufi'i S.Ag. S. Pd. M.Ag, Deliati Salamah, Fitri Salsabila, Aulia Saputra, Ananda Saputro, Bayu Trio Saputro, Rizky Wahyu Shalsabila Fauzana, Tiara Shintia, Clara Sholihin Sholihin Siddiq Makhalli SIREGAR, BUDI GAUTAMA Siska Nerita Siti Muawanah Siti Nuryanti Siti Rusdiana Puspa Dewi Sitompul, LIsnawati Slamet Prayogo Sofia Sri Indra Maiyanti Sugandi Yahdin Suryana Suryana Suryani Suryani Susmawati, Putri Rahayu Syafri Rizka Martabe Nasution Syaharani, Happy Thoyibah, Sarirotut Tio, Lina tri wahyuni Triyani Triyani Ulum, Luluk Bahrul Wati, Mala Ayu Setia Wijaya, Muhammad Rudi Yadi Oktariansyah Yani Restiani Widjaja, Yani Restiani Yayu Sri Rahayu, Yayu Sri Yuli Andriani Yulia Resti Yuniar, Enyta Zayanti, Des A. Zuhria, Sinta Ainun