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All Journal Teika QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT Al-Kharaj: Journal of Islamic Economic and Business Iqtishaduna : Jurnal Ilmiah Mahasiswa Hukum Ekonomi Syariah Jurnal Ekonomi Syariah Pelita Bangsa Al-Mutsla: Jurnal Ilmu-Ilmu Keislaman dan Kemasyarakatan Jurnal Ar-Ribh Mauriduna : Journal of Islamic studies Journal of Artificial Intelligence and Engineering Applications (JAIEA) Duta Pharma Journal Jurnal Informatika dan Perancangan Sistem (JIPS) Journal of Humanities and Social Studies Journal of Development Economics and Digitalization, Tourism Economics (JDEDTE) Pangale Journal of Forestry and Environment Journal of Accounting, Economics, and Business Education IECON: International Economics and Business Conference Journal Of Computer Engineering And Information Technology Jurnal Ilmiah Akuntansi dan Keuangan (JIAN) Al-Gazali Journal Of Mechanical Engineering JISTI: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi
Sumarlin
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Social Sciences Other

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Analisis Pembiayaan Bank Umum Syariah terhadap Produk Domestik Regional Bruto di Kota Kendari, Sulawesi Tenggara Tahun 2023–2024 TENRI, ANDRIANI; Kamaruddin; Sumarlin
AL-MUTSLA Vol. 7 No. 2 (2025): Jurnal Al Mutsla
Publisher : STAIN MAJENE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46870/jstain.v7i2.1630

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh pembiayaan Bank Umum Syariah terhadap Produk Domestik Regional Bruto (PDRB) di Kota Kendari, Sulawesi Tenggara, pada periode 2023–2024. Dengan pendekatan kuantitatif dan metode regresi linier sederhana, penelitian ini menggunakan data sekunder dari Otoritas Jasa Keuangan (OJK) dan Badan Pusat Statistik (BPS). Variabel independen adalah pembiayaan Bank Umum Syariah (X), sedangkan variabel dependen adalah PDRB Kota Kendari (Y). Hasil analisis menunjukkan bahwa pembiayaan Bank Umum Syariah berpengaruh positif dan signifikan terhadap PDRB, dengan persamaan regresi Y = 3033,133 + 2234,504X. Koefisien determinasi (R²) sebesar 64,2% mengindikasikan bahwa pembiayaan syariah berkontribusi signifikan terhadap pertumbuhan ekonomi daerah, sementara sisanya dipengaruhi oleh faktor lain. Uji t memperkuat temuan ini dengan nilai thitung (3,283) > ttabel (1,943) dan signifikansi 0,017 (< 0,05). Ini menegaskan peran strategis pembiayaan syariah dalam mendorong aktivitas ekonomi sektor riil di Kota Kendari. Implikasinya, penguatan peran perbankan syariah melalui perluasan akses pembiayaan dan literasi keuangan syariah dapat menjadi strategi penting dalam mendukung pertumbuhan ekonomi daerah.
Analisis Dan Penerapan Jaringan Hotspot Server Berbasis Mikrotik Di Gedung Sekolah Smk Swasta Gebang Hasanuddin; Sumarlin; Ita Margaretta Br Tarigan
JISTI: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol. 1 No. 4 (2026): Januari 2026
Publisher : Institut Teknologi dan Bisnis Indonesia

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Abstract

Gebang Private Vocational School faces obstacles in managing the internet network, including uneven bandwidth distribution, difficulties in monitoring internet usage, and inadequate network security. The purpose of this study is to analyze and implement a MikroTik-based server hotspot network at Gebang Private Vocational School to improve the efficiency of network management, security, and internet service quality. This research uses observation, literature study, and design methods. The research stages include needs analysis, network topology design, MikroTik router configuration, server hotspot implementation, and system testing and evaluation. The result of this study is that the MikroTik-based server hotspot network has succeeded in improving bandwidth management, network security, and ease of monitoring internet usage. This system allows for restriction of user access, fairer distribution of bandwidth, and increased speed and stability of internet connections throughout school areas. Researchers suggest conducting periodic monitoring and maintenance of the system that has been implemented and provide training to school IT staff regarding the management and troubleshooting of the MikroTik system.
Implementasi Sistem Informasi Penjualan Berbasis Web Untuk Meningkatkan Efisiensi Pengelolaan Data Ginting, Jimmy; Romulo P. Aritonang; Sumarlin
JISTI: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol. 1 No. 3 (2025): Oktober 2025
Publisher : Institut Teknologi dan Bisnis Indonesia

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Abstract

The development of information technology encourages organizations and small and medium enterprises (SMEs) to utilize information systems to support operational activities. Manual sales data management often causes various problems such as reporting delays, recording errors, and difficulties in data retrieval. This study aims to design and implement a web-based sales information system that can improve the efficiency and accuracy of sales data management. The research method used is the waterfall method, which includes the stages of needs analysis, system design, implementation, and testing. The results show that the web-based sales information system can assist the process of recording transactions, managing product data, and generating sales reports quickly and accurately. Thus, this system is expected to support more effective management decision-making.
Prediction of Clean Water Quality Using K-Nearest Neighbor (KNN) and Naïve Bayes at PDAM Kupang City Haliim Wila Supardi; Sumarlin
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1892

Abstract

Kupang City faces significant challenges in providing clean water due to its dry geographical conditions and extreme climate. Although it has various potential water sources such as watersheds and bore wells, clean water distribution remains suboptimal. This study aims to predict clean water quality using two machine learning algorithms, namely K-Nearest Neighbor (KNN) and Naïve Bayes, based on the Water Quality Dataset which includes parameters such as pH, hardness, total dissolved solids, and turbidity. The process involves data preprocessing, algorithm implementation, and model evaluation using classification metrics. The KNN model achieved an accuracy of 56%, with an F1-score of 0.67 for the “unsafe” class and 0.36 for the “safe” class. Meanwhile, the Naïve Bayes model achieved a higher overall accuracy of 61% but failed to detect the “safe” class, showing a precision and recall of 0.00. Overall, KNN performed more balanced across classes despite its moderate accuracy, while Naïve Bayes was biased toward the majority class. These findings highlight the importance of selecting appropriate algorithms and tuning parameters for water quality prediction. The implementation of predictive models is expected to assist PDAM Kupang in making data-driven decisions to improve clean water management sustainably.
This study examines the usage behavior of Shopee PayLater from the perspective of Maqasid Shariah in Sinjai Regency Rahmawati; Muslimin Kara; Sumarlin; Jamaluddin Majid; Muhamatsakree Manyunu
Jurnal Ar-Ribh Vol. 9 No. 1 (2026): April 2026
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/emdrcn77

Abstract

This study investigates the usage behavior of Shopee PayLater within the framework of Maqasid Shariah in Sinjai Regency, Indonesia. The research aims to explore user behavior patterns, identify the underlying motivations for adopting this digital credit service, and evaluate its alignment with Islamic ethical principles. A qualitative approach within a critical paradigm was employed, involving purposively selected participants, including lecturers, religious leaders, students, and community members who actively use Shopee PayLater. Data were collected through in-depth interviews, observation, and document analysis, and analyzed using the Miles and Huberman interactive model, consisting of data reduction, data display, and conclusion drawing. The findings reveal that Shopee PayLater usage is predominantly influenced by convenience, urgent financial needs, and social factors, leading to two primary patterns: consumptive and productive use. While the service provides benefits such as facilitating access to essential goods and supporting small-scale economic activities, it also encourages impulsive consumption and poses risks of financial distress. From the Maqasid Shariah perspective, the practice partially aligns with the objectives of preserving life and wealth (hifz al-nafs and hifz al-mal), but may contradict the protection of religion and intellect (hifz al-din and hifz al-‘aql) due to elements of riba, excessive consumption, and weak financial discipline. This study contributes to the development of Islamic fintech discourse by integrating behavioral analysis with Maqasid Shariah and offers practical insights for policymakers, fintech providers, and Muslim consumers to promote ethically responsible digital financial practices.
Klasifikasi Judul Berita Online Menggunakan BERT dan IndoBERT Katemba, Diorrani Simma'; Katemba, Diorrani; Bisilisin, Franki; Heni; Sumarlin
TeIKa Vol 16 No 1 (2026): Jurnal TeIKa
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/3sqzca39

Abstract

Perkembangan berita online di wilayah Nusa Tenggara Timur (NTT) semakin pesat. Meningkatnya volume berita yang dipublikasikan setiap hari menimbulkan tantangan dalam proses pengelompokan dan analisis konten yang selama ini masih dilakukan secara manual. Oleh karena itu, diperlukan suatu sistem yang mampu mengklasifikasikan judul berita secara otomatis dan akurat agar pengelolaan informasi dapat dilakukan dengan lebih efisien. Penelitian ini menggunakan pendekatan berbasis deep learning dengan menerapkan model Bidirectional Encoder Representations from Transformers (BERT) dan IndoBERT sebagai teknologi utama dalam sistem klasifikasi berita online berbahasa Indonesia. Bahasa pemrograman yang digunakan adalah Python dengan dukungan pustaka transformers. Dataset yang digunakan dikumpulkan melalui teknik web scraping dari beberapa portal berita lokal di wilayah NTT, kemudian dibagi menjadi 80% data latih dan 20% data uji untuk mengukur performa model. Model BERT dan IndoBERT diterapkan untuk mengenali konteks serta makna semantik dari setiap judul berita guna menghasilkan representasi teks yang lebih bermakna. Hasil pengujian menunjukkan bahwa model dasar BERT mencapai tingkat akurasi sebesar 69%, dengan nilai precision 70,2%, dan recall 66,9%. Sementara itu, penerapan model IndoBERT memperoleh performa yang lebih tinggi dengan tingkat akurasi mencapai 80%, nilai precision 78,2%, dan recall 79%. Kesimpulannya, pemanfaatan model IndoBERT terbukti secara signifikan lebih akurat dan optimal dibandingkan BERT dalam melakukan klasifikasi teks judul berita lokal NTT.
Co-Authors Abdilah, Nurullah Asep Abdul Wahab Abdullah, Wahyuddin Adriansyah Ahmad Syofian Ameliyani, Rizki Amiruddin Amirudin Ardiansyah Arifin, Nurfadillah Annisa Arlinda Hafid, Eka Arsyad, Kamaruddin Bisilisin, Franki Della Fadhilatunnisa Demma semu, Yulsan Desi Ella Andini Br Ginting Ginting, Jimmy Haliim Wila Supardi Hasanuddin Heni Idris Parakkasi ILHAM Ita Margaretta Br Tarigan Jamaluddin Majid Kamaruddin Kamaruddin Arsyad Katemba, Diorrani Katemba, Diorrani Simma' Lince Bulutoding M, Riska Amalia M. Hidayat Maulana Meiliyani Br Ginting Muhamatsakree Manyunu Muhammad Asnur Murtiadi Awaluddin Muslimin Kara Mutiara Damarani Mutmainnah, Andi Nabila, Sri Nurul Nachda Alyaditha Ndibale, Wa nengsih, sriwahyuni Nur Al-Fidha Nur Rahmah Sari Nur Sakinah Irman Nurkhaerun Nisa Nurul Anggraeni Perkasa, Dwilie Patih Rahman Ambo Masse Rahman, Fadhli Rahmawati Raodahtul Jannah Raodatul Jannah Ratna Anzani Roby Aditiya Romulo P. Aritonang Rosdiana Rosmah Saputri, Jesika Sri Nurul Nabila Sudirman Syafrun, Muhammad Syaharuddin Syaharuddin Syariati, Namla Elfa Tenri, Andriani Usman Jafar Wahyuddin Abdullah Wibowo, Dwiprayogo