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All Journal Jurnal Media Infotama Syntax Literate: Jurnal Ilmiah Indonesia Pendas : Jurnah Ilmiah Pendidikan Dasar Unes Law Review Journal of Technopreneurship and Information System (JTIS) Jurnal Komputer, Informasi dan Teknologi Law Development Journal JIFI (Jurnal Ilmiah Farmasi Imelda) Jurnal Multidisiplin Dehasen (MUDE) HUKMY : Jurnal Hukum Jurnal Indonesia Sosial Teknologi JISPE Journal of Islamic Primary Education Kohesi: Jurnal Sains dan Teknologi Heca Journal of Applied Sciences Leuser Journal of Environmental Studies Journal of Educational Management and Learning Infolitika Journal of Data Science Grimsa Journal of Science Engineering and Technology Journal Of Law Sciences (Legisci) Journal of Society and Development Indonesian Cyber Law Review
Lala, Andi
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Academic Supervision by School Principals: Enhancing Junior High School Teachers' Professional Competence Julianda, Eka; Ismail, Ismail; Khairuddin, Khairuddin; Lala, Andi
Journal of Educational Management and Learning Vol. 2 No. 1 (2024): May 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v2i1.170

Abstract

This study investigates the role of academic supervision by school principals in enhancing teacher professional competence at SMP Negeri 1 Babahrot and SMP Negeri 2 Susoh in Southwest Aceh, Indonesia. Employing a qualitative approach, the research examined the planning, implementation, and follow-up of academic supervision activities conducted by the school principals. The findings indicate that the principals' systematic approach to academic supervision includes comprehensive planning, active implementation, and targeted follow-up actions, all aimed at supporting the continuous professional development of teachers. The study demonstrates that these practices significantly improve teaching quality and student learning outcomes. Challenges such as limited time and the need for experienced supervisors and strategies to address these issues were identified. Overall, the research underscores the vital role of effective academic supervision in fostering teacher professionalism and enhancing educational quality, suggesting that these practices could be adopted in other educational settings to achieve similar benefits.
Machine Learning for Early Detection of Dropout Risks and Academic Excellence: A Stacked Classifier Approach Noviandy, Teuku Rizky; Zahriah, Zahriah; Yandri, Erkata; Jalil, Zulkarnain; Yusuf, Muhammad; Mohamed Yusof, Nur Intan Saidaah; Lala, Andi; Idroes, Rinaldi
Journal of Educational Management and Learning Vol. 2 No. 1 (2024): May 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v2i1.191

Abstract

Education is important for societal advancement and individual empowerment, providing opportunities, developing essential skills, and breaking cycles of poverty. Nonetheless, the path to educational success is marred by challenges such as achieving academic excellence and preventing student dropouts. Early identification of students at risk of dropping out or those likely to excel academically can significantly enhance educational outcomes through tailored interventions. Traditional methods often fall short in precision and foresight for effective early detection. While previous studies have utilized machine learning to predict student performance, the potential for more sophisticated ensemble methods, such as stacked classifiers, remains largely untapped in educational contexts. This study develops a stacked classifier integrating the predictive strengths of LightGBM, Random Forest, and logistic regression. The model achieved an accuracy of 80.23%, with precision, recall, and F1-score of 79.09%, 80.23%, and 79.20%, respectively, surpassing the performance of the individual models tested. These results underscore the stacked classifier's enhanced predictive capability and transformative potential in educational settings. By accurately identifying students at risk and those likely to achieve academic excellence early, educational institutions can better allocate resources and design targeted interventions. This approach optimizes educational outcomes and supports informed policymaking, fostering environments conducive to student success.
The Polygamy Concept in the Qur'an Perspective Abdullah, Abdullah; Lala, Andi
Law Development Journal Vol 5, No 4 (2023): December 2023
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/ldj.5.4.667-673

Abstract

Polygamy, the marriage practice in which a man has more than one wife, has become a controversial topic debated in various societies, including in the context of religious teachings. This research aims to explore the Qur'anic perspective on polygamy and its implications for Muslim individuals, families, and communities. Through analysis of verses from the Qur'an relating to polygamy, this research highlights the legal aspects, conditions, and objectives of this practice within the framework of Islamic values. The research results show that the Qur'an permits polygamy with strict provisions, emphasizing the need for fair treatment of the wives one has. Although the Qur'an gives permission, this research emphasizes that polygamy should not be considered as a primary option, but rather as a last solution in certain circumstances. By highlighting the moral and social responsibilities inherent in men who choose polygamy, the Qur'an emphasizes the importance of maintaining balance and justice in domestic life. This study contributes to a deeper understanding of the Qur'anic view of polygamy, discussing the dimensions of ethics, justice, and responsibility in the context of the Islamic family and society. Thus, this research seeks to present a richer view of polygamy as a complex aspect of life, embodied in deep Islamic values.
UJI POTENSI ANTITUBERKULOSIS EKSTRAK n-HEKSAN DAN EKSTRAK ETANOL DAUN RIMBANG (Solanum torvum Sw.) SECARA IN VITRO Harianti, Evi; Fatimah, Cut; Gunawan, Muhammad; Lala, Andi
JIFI (Jurnal Ilmiah Farmasi Imelda) Vol. 8 No. 1 (2024): JIFI (Jurnal Ilmiah Farmasi Imelda)
Publisher : Universitas Imelda Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52943/jifarmasi.v8i1.1772

Abstract

Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis which still affects many Indonesians and causes death. Currently, many people are resistant to treating tuberculosis using synthetic chemicals, so many sufferers find it difficult to recover, while the discovery of new drugs is still rare, therefore we need drugs made from natural ingredients that have been used by the community to treat coughs with phlegm and blood, which is one of the Symptoms of tuberculosis include rimbang leaves (Solanum torvum Sw.). Therefore, researchers conducted antituberculosis potential tests with rimbang leaf extract (Solanum torvum Sw.) with the aim of obtaining alternative medicines from plants that are rational, safe, cheap and easy to obtain. The extract was made by percolation using n-hexane followed by ethanol fractionation, then a phytochemical screening test was carried out on fresh leaves, simplicia, ethanol extract and n-hexane extract. The antituberculosis test of n-hexane extract and ethanol extract was carried out on Mycobacterium tuberculosis bacteria using the Lowenstein-Jensen method using patient sputum which was first identified using Ziehl Nielsen staining. The results of the phytochemical screening test showed that the chemical compound groups in fresh leaves, simplicia, ethanol extract and n-hexane extract, namely ethanol extract, were positive for alkaloids, flavonoids, glycosides, saponins, steroids/triterpenoids. and tannins while the n-hexane extract was positive for glycosides and steroids/triterpenoids. The antituberculosis effectiveness of ethanol extract is stronger than n-hexane extract, because in the 1st week and 2nd week the ethanol extract was able to inhibit the growth of Mycobacterium tuberculosis, while the n-hexane extract from the 1st to the 4th week did not inhibit the growth of Mycobacterium tuberculosis at all.
Implementasi Dinamic Programing Untuk Menentukan Program Diet Bagi Penderita Kegemukan (Obesitas) Khairullah, Khairullah; Lala, Andi
Jurnal Media Infotama Vol 15 No 1 (2019)
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (432.607 KB) | DOI: 10.37676/jmi.v15i1.772

Abstract

In the past, people tended to be more active, because to carry out an activity a lot of physical activity was needed. Nowadays, people are too lazy to change the TV channel, so it is not surprising that obesity, high blood pressure and heart disease have become epidemics affecting public health. The increasing trend of weight loss recently has also been accompanied by an increase in the production of drugs and food substitutes which are promoted as slimming foods that are healthy and highly nutritious, even though we may know that these products generally only help suppress hunger for a while. If the body needs to consume daily food that contains balanced nutrients, if the body can digest, absorb and metabolize these nutrients properly, an ideal body weight and balanced nutritional condition will be achieved. So it can be concluded that SPK software is needed that can provide information on diet analysis, planning food menus and sports activity schedules quickly and accurately. To solve the problem of preparing diet programs for obese sufferers, a linear programming model with a dynamic programming method was chosen, because the application of the programming method linear on this problem can provide information on planning a food menu with nutritional content that will not exceed the limited number of nutrients.
SISTEM INFORMASI DATA ALUMNI DI SMAN 1 BENGKULU SELATAN BERBASIS WEB Arrahman, Arrahman; Lala, Andi
Jurnal Media Infotama Vol 18 No 2 (2022): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v18i2.2882

Abstract

ABSTRACT :This study time to design a Web-Based Alumni Data Information System needed at Sman 1 South Bengkulu. The data collection technique of study used questionnaire, interview and documentation. The document can be in the form of writing, pictures, or monumental works of someone. The system development of this study used the waterfall method. The collecting of alumni data was still classified as manual by using archives that is still difficult to update alumni data. Therefore, to facilitate information from alumni, a web-based alumni data information system was designed at State Senior High School 1 South Bengkulu by using Xampp, Mysql and PHP programming languages. The research location was at State Senior High School1 South Bengkulu. The results of the research show that the alumni data information system at State High School 1 South Bengkulu is easier to be found particularly about updating the alumni data information system of State Senior High School 1 South Bengkulu. Keywords: Web-Based System, Alumni Data, Waterfall, Information System.
PERANCANGAN WEB PROFIL SEKOLAH SDN 04 KOTA BENGKULU Mayureza, Guntur; Fajri.S, Muhammad; Saputra, Tri Dian; Piski; Lala, Andi
Kohesi: Jurnal Sains dan Teknologi Vol. 7 No. 5 (2025): Kohesi: Jurnal Sains dan Teknologi
Publisher : CV SWA Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.3785/kohesi.v7i5.11765

Abstract

Perkembangan teknologi informasi yang pesat telah mendorong institusi pendidikan untuk memiliki media informasi berbasis digital. Website menjadi salah satu media yang efektif dalam menyampaikan informasi sekolah kepada masyarakat. Penelitian ini bertujuan untuk merancang dan mengembangkan website profil SDN 04 Kota Bengkulu sebagai media informasi yang interaktif dan mudah diakses. Metode perancangan yang digunakan adalah model pengembangan berbasis web dengan penerapan teknologi HTML, CSS, dan JavaScript, serta framework Bootstrap untuk meningkatkan tampilan. Website ini mencakup beberapa fitur utama seperti profil sekolah, struktur organisasi, informasi akademik, galeri kegiatan, fasilitas sekolah, serta halaman kontak. Dengan adanya website ini, diharapkan dapat meningkatkan efektivitas penyebaran informasi sekolah serta mempermudah akses bagi siswa, orang tua, dan masyarakat umum dalam mendapatkan informasi terkait SDN 04 Kota Bengkulu.
Enhancing TiO2 Photoelectrode Performance: The Role of La Doping Using the Sol-Gel Process Jannah, Mifthahul; Azmi, Nurul; Lala, Andi; Jalil, Zulkarnain; Mursal, Mursal
Heca Journal of Applied Sciences Vol. 3 No. 1 (2025): March 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v3i1.266

Abstract

Due to growing interest in renewable energy technologies, dye-sensitized solar cells (DSSCs) have emerged as promising alternatives to conventional photovoltaics. This study explores the enhancement of titanium dioxide (TiO2) photoelectrodes through doping with lanthanum (La), a rare earth element known for its ability to modify semiconductors' structural and electronic properties. La-doped TiO2 was synthesized using the sol-gel method with La concentrations ranging from 0 to 4 mol%. The resulting films were deposited onto substrates and sintered at 600 °C for 1 hour. Characterization techniques included X-ray diffraction (XRD), scanning electron microscopy with energy-dispersive spectroscopy (SEM-EDS), UV-Vis spectrophotometry, and Fourier-transform infrared spectroscopy (FTIR). XRD confirmed the anatase phase of TiO2 and the appearance of La2O₃ phases with doping. The smallest crystallite size (8.20 nm) and lowest bandgap energy (3.31 eV) were achieved at 1 mol% La, compared to 3.52 eV for undoped TiO2. SEM-EDS indicated uniform La distribution, while FTIR revealed changes in surface chemistry. These results suggest that La doping, particularly at 1 mol%, can effectively enhance the optical and structural properties of TiO2, making it a promising candidate for improved DSSC performance.
Effectiveness of Criminal Sanctions Enforcement against Environmental Pollution by Industrial Corporations in Indonesia: Efektivitas Penegakan Sanksi Pidana atas Pencemaran Lingkungan oleh Korporasi Industri di Indonesia Lala, Andi; Kosim, Kosim
Journal of Society and Development Vol. 5 No. 1 (2025)
Publisher : Medpro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57032/jsd.v5i1.294

Abstract

Environmental pollution by industrial companies in Indonesia remains a serious issue, threatening environmental sustainability and public safety. Although Law Number 32 of 2009 concerning Environmental Protection and Management (UUPPLH) provides a strong legal basis, its enforcement often lacks effectiveness. This research aims to analyze the forms of environmental criminal offenses committed by industrial companies and the effectiveness of criminal law enforcement carried out by law enforcement agencies. This study employs a normative legal research method with a qualitative-descriptive approach, analyzing relevant regulations, court decisions, and law enforcement practices. Data were gathered through intensive literature review. The findings indicate that the UUPPLH extensively regulates various forms of industrial pollution offenses, from exceeding quality standards to illegal hazardous waste management, which are subject to substantial fines and administrative sanctions. However, law enforcement faces significant challenges, including the complexity of proving corporate fault, limited resources and coordination among law enforcement agencies, and the potential influence of external factors such as the economic power of corporations. Criminal sanctions, particularly fines, have not consistently provided an optimal deterrent effect, and the obligation for environmental restoration post-judgment is often not fully implemented. This study emphasizes the urgency of enhancing the capacity and coordination of law enforcement, as well as the importance of public participation and transparency in legal processes. The contribution of this article lies in its integrative analysis of legal norms and practical enforcement challenges, offering concrete policy recommendations for strengthening the environmental criminal justice system. A limitation of this study is its primary focus on normative aspects, without extensive empirical fieldwork.
Inductive Biases in Feature Reduction for QSAR: SHAP vs. Autoencoders Noviandy, Teuku Rizky; Idroes, Ghifari Maulana; Lala, Andi; Helwani, Zuchra; Idroes, Rinaldi
Infolitika Journal of Data Science Vol. 3 No. 1 (2025): May 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ijds.v3i1.306

Abstract

Machine learning models in drug discovery often depend on high-dimensional molecular descriptors, many of which may be redundant or irrelevant. Reducing these descriptors is essential for improving model performance, interpretability, and computational efficiency. This study compares two widely used reduction strategies: SHAP-based feature selection and autoencoder-based compression, within the context of Quantitative Structure-Activity Relationship (QSAR) classification. LightGBM is used as a consistent modeling framework to evaluate models trained on all descriptors, the top 50 and 100 SHAP-ranked descriptors, and a 64-dimensional autoencoder embedding. The results show that SHAP-based selection produces interpretable and stable models with minimal performance loss, particularly when using the top 100 descriptors. In contrast, the autoencoder achieves the highest test performance by capturing nonlinear patterns in a compact, low-dimensional representation, although this comes at the cost of interpretability and consistency across data splits. These findings reflect the differing inductive biases of each method. SHAP prioritizes sparsity and attribution, while autoencoders focus on reconstruction and continuity. The analysis emphasizes that descriptor reduction strategies are not interchangeable. SHAP-based selection is suitable for applications where interpretability and reliability are essential, such as in hypothesis-driven or regulatory settings. Autoencoders are more appropriate for performance-driven tasks, including virtual screening. The choice of reduction strategy should be guided not only by performance metrics but also by the specific modeling requirements and assumptions relevant to cheminformatics workflows.
Co-Authors Abas, Abdul Hawil Abdiansyah, Zeldi Abdul Fatakh, Abdul Abdullah Abdullah Abdullah Abdullah Akbar, Zulhiddin Aprianto . Arrahman Arrahman Azhar, Fauzul Dharma, Dian Budi Diah, Muhammad Emran, Talha Bin Erkata Yandri Fajri.S, Muhammad Farida Nugrahani Fatimah, Cut Frisca Madhona, Yenny Ghazi Mauer Idroes Gunawan Gunawan Hanan, Dafif Handayani, Sri Harianti, Evi Harsya, Rabith Madah Khulaili Hewindati, Yuni Tri Idroes, Ghalieb Mutig Idroes, Ghifari Maulana Irsan Hardi Irvanizam, Irvanizam Ismail Ismail Juansen, Monsya Julianda, Eka Junaedi Junaedi Junia, Wiyana Khairan Khairan Khairuddin - Khairullah, Khairullah Khalijah Awang Khudori, Abdullah Kosim Kosim Kusumo, Fitranto Manalu, Paris Marlina Marlina Marwan Marwan Maulana, Aga Maulydia, Nur Balqis Mayureza, Guntur Ma’ruf, Rahmat Arif Mifthahul Jannah Misbullah, Alim Mohamed Yusof, Nur Intan Saidaah Muhammad Gunawan Muhammad Yusuf Mursal Mursal Muslem Muslem, Muslem Musvira, Intan Nizamuddin Nizamuddin Nurul Azmi, Nurul Piski Razief Perucha Fauzie Afidh Rinaldi Idroes Rivansyah Suhendra Rohyana, Hadi Saiful Saiful Salsabila, Athaya Samud Samud, Samud Saputra, Tri Dian Souvia Rahimah Sugianto Sugianto Suhendra , Rivansyah Suhendra, Rivansyah Surya Ade Saputera Taufiq Karma Teuku Rizky Noviandy TRINA EKAWATI TALLEI Ulhaq, Muhammad Zia Zahriah, Zahriah Zuchra Helwani, Zuchra Zulkarnain Jalil