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All Journal Jurnal Pendidikan Teknik Mesin Geological Engineering E-Journal Fountain of Informatics Journal Sistemasi: Jurnal Sistem Informasi BAREKENG: Jurnal Ilmu Matematika dan Terapan Bisma: Jurnal Bisnis dan Manajemen MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer INTEK: Jurnal Penelitian Building of Informatics, Technology and Science Jurnal Optimalisasi Scholastica : Jurnal Pendidikan dan Kebudayaan Jurnal Ilmu Pendidikan Islam Community Development Journal: Jurnal Pengabdian Masyarakat Tadris: Jurnal Pendidikan Islam Software Development Digital Business Intelligence and Computer Engineering Buletin Pengabdian Journal of Global Engineering Research & Science (J-GERS) Ta'amul: Journal of Islamic Economics PANDALUNGAN : Jurnal Pengabdian kepada Masyarakat Cahaya Pengabdian Journal of Modern Social and Humanities
Lutfi Hakim
Program Studi Teknik Geologi Universitas Diponegoro, Semarang
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Prediksi Tinggi Gelombang dan Kecepatan Angin di Pantai Menggunakan Metode BiGRU Putri Oktavia, Nabiilah; Hakim, Lutfi; Novitasari , Dian Candra Rini; Asyhar, Ahmad Hanif; Setiawan, Fajar
Fountain of Informatics Journal Vol. 10 No. 1 (2025): Mei
Publisher : Universitas Darussalam Gontor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/fij.v10i1.13018

Abstract

Abstrak Indonesia terletak di antara Samudera Pasifik dan Samudera Hindia yang membuat Indonesia menjadi pusat jalur perdagangan internasional. Pada lokasi desa Karangduwur yang berlokasi di Jawa Tengah memiliki potensi ekonomi maritim yang kuat tetapi juga memiliki risiko cuaca yang besar juga. Oleh karena itu tujuan dari penelitian ini yaitu untuk memprediksi tinggi gelombang dan kecepatan angin.   Metode prediksi yang digunakan pada penelitian kali ini adalah BiGRU (Bidirectional Gated Recurrent Unit) karena BiGRU memiliki hasil prediksi yang baik dibanding metode deep learning yang lain. Penelitian ini menggunakan data time series    yang berisi data tinggi gelombang dan kecepatan angin. Data unsur cuaca diambil per 12 jam dari bulan Januari 2021 – bulan April 2024. Metode BiGRU dapat digunakan dalam memprediksi cuaca maritim dengan fungsi aktivasi paling optimal untuk prediksi tinggi gelombang dan kecepatan angin ialah Relu, serta untuk prediksi tinggi gelombang dan kecepatan angin memiliki jumlah Batch Size yang optimal terdapat pada Batch Size 16. Dengan hasil nilai MAPE untuk prediksi ketinggian gelombang sebesar 1.6434% dan untuk prediksi kecepatan angin sebesar 0.6560%. Nilai MAPE pada model BiGRU memiliki nilai yang kecil dimana kurang dari 10% maka model BiGRU dikatakan sangat baik untuk prediksi pada data cuaca maritim. Kata kunci: Cuaca, Kecepetan angin, Tinggi gelombang, BiGRU   Abstract [Prediction of Wave Height and Wind Speed ​​on the Coast Using the BiGRU Method] Indonesia is located between the Pacific Ocean and the Indian Ocean, which makes it the center of international trade routes. Karangduwur village, located in Central Java, has strong maritime economic potential but also has great weather risks. Therefore, the purpose of this research is to predict wave height and wind speed.   The prediction method used in this research is BiGRU (Bidirectional Gated Recurrent Unit) because BiGRU has good prediction results compared to other deep learning methods. This research uses time series data containing wave height and wind speed data. Weather element data is taken per 12 hours from January 2021 - April 2024. The BiGRU method can be used in predicting maritime weather with the most optimal activation function for predicting wave height and wind speed is Relu, and for predicting wave height and wind speed, the optimal number of Batch Size is Batch Size 16. With the results of the MAPE value for wave height prediction of 1.6434% and for wind speed prediction of 0.6560%. The MAPE value in the BiGRU model has a small value which is less than 10%, so the BiGRU model is said to be very good for prediction on maritime weather data. Keywords: Weather, Wind speed, Wave height, BiGRU
Evaluasi Pemanfaatan Sistem Informasi Desa (SID) di Kabupaten Gresik (Studi kasus di seluruh Desa pada Kecamatan Ujungpangkah) Syamsi, Nur; Indarto, Tomi; Kholifah, Anik Nur; Hakim, Lutfi; Sutarto, Auditya Purwandini; Suparno, Suparno; Afiyat, Nur
Jurnal Optimalisasi Vol 11, No 1 (2025): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v11i1.11629

Abstract

This study aims to evaluate the utilization of the Village Information System (Sistem Informasi Desa or SID) in Gresik Regency, with a case study involving all villages in the Ujungpangkah District. The Village Information System (SID) serves as a crucial tool for enhancing the efficiency of public services at the village level and promoting transparency and accountability in village governance. However, its implementation and utilization still face various challenges. This research employs both qualitative and quantitative approaches to obtain a comprehensive overview of the extent to which SID has been implemented and utilized by the villages in Ujungpangkah District. Data were collected through in-depth interviews, questionnaires, and field observations. The analysis was conducted using descriptive and inferential methods to identify the factors influencing SID utilization, including technical aspects, human resources, and government support. The findings indicate that the utilization of SID in these villages remains suboptimal, with the main obstacles being limited technological infrastructure, lack of training for village officials, and insufficient support from the local government. The recommendations derived from this study are expected to serve as a reference for local governments in improving the utilization of SID to achieve better village governance.
Community-based disaster mitigation in Sinambela Village, Humbang Hasundutan District, North Sumatra Province [Mitigasi bencana berbasis masyarakat di Desa Sinambela Kabupaten Humbang Hasundutan Provinsi Sumatera Utara] Syahputra, Orang Kaya Hasnanda; Samsuri, Samsuri; Hakim, Lutfi; Fadhilla, Suri
Buletin Pengabdian Vol 5, No 1 (2025): Bull. Community. Serv.
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/bulpen.v5i1.44456

Abstract

Sinambela Village has a high potential for geological and hydrometeorological disasters. This is influenced by the biophysical conditions of the village. A significant portion of the community in Sinambela Village is not yet well educated about natural disasters and disaster mitigation. Therefore, disaster mitigation efforts are necessary, considering that floods and landslides have previously struck Simangulampe Village in Bakti Raja Sub-District, which is in the same district as Sinambela Village. This incident occurred on December 1, 2023, resulting in 12 people missing and one confirmed fatality. The primary cause of the flooding was heavy rainfall. In addition to hydrometeorological factors, flooding in Sinambela Village was also caused by various other factors, including sedimentation in the downstream section of the river, reduced vegetation cover in the upstream area, and river channel narrowing. Based on the situational analysis and the challenges faced by the community, it is crucial to build a society that is prepared for disasters, capable of anticipating them, and able to adapt to them an effort known as disaster mitigation. The proposed solution involves community involvement in disaster planning, emergency response, and post-disaster recovery. This community-based initiative is known as Disaster-Resilient Village (DESTANA). Given the increasing risks and challenges of hydrometeorological disasters, this study aims to ensure that the community remains alert and prepared to face potential hazards in their environment, enhances their ability to withstand threats, and strengthens their overall resilience.
PREDICTION OF THE ELECTRIC POWER BY OSCILLATING WATER COLUMN WAVE POWER PLANTS ON BAWEAN ISLAND USING LSTM Putri, Risma Madurahma; Hakim, Lutfi; Novitasari, Dian C Rini; Asyhar, Ahmad Hanif; Setiawan, Fajar
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 4 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss4pp2287-2300

Abstract

The demand for electricity in Indonesia continues to increase in line with population growth and the expansion of economic development. This increase is not matched by the diminishing electricity resources, as fossil fuels, which are non-renewable, are being used. Therefore, there is a need for renewable energy sources that can be utilized as long-term electricity resources. The abundant marine areas in Indonesia make it a potential source of alternative energy, one form of its utilization is the Ocean Wave Power Plant using the Oscillating Water Column (OWC) method. Bawean Island in Gresik is one of the regions that has this potential, while also facing long-standing electricity supply limitations that have resulted in uneven electricity distribution among the community. The problem does not stop at power generation but also extends to the transmission system between supply and demand. This research is conducted to predict the electricity generated by the ocean wave power plant to help avoid mismatches when supplying electricity. This study uses time series data from January 1st, 2021, to May 5th, 2024, which includes wave height, length, period, and amplitude. Electricity prediction based on these parameters can be performed using deep learning-based methods that can effectively process sequential time series data, such as the Long Short Term Memory (LSTM) method, by experimenting with the number of neurons, epochs, and batch sizes. The best prediction results for the variables of height, length, period, and amplitude of the waves obtained MAPE values of 0.3657%, 0.1637%, 0.0888%, and 0.3480%, respectively. The electricity prediction results from the best parameters obtained a MAPE of 0.3549%.
E-Ticket Application as Supporting Technology During COVID-19 Pandemic in Baluran National Park Kristanto, Sepyan Purnama; Yusuf, Dianni; Hakim, Lutfi; Rifqi, Mochamad Misbahur
INTEK: Jurnal Penelitian Vol 8 No 1 (2021): April 2021
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v8i1.2307

Abstract

The COVID-19 outbreak has a major impact, especially on tourism. Closure of tourist attractions must be enforced to prevent the spread of the virus. People are required to maintain a safe distance and avoid crowds (physical distancing). Some policies and guidelines are created to adapt to the new normal era to drive and stabilize the people's economy during this pandemic. Tourist attractions start operating with government guidelines, including limiting the number of visitors and implementing supporting technology to prevent queues of visitors when purchasing entrance tickets. This study develops a web-based system to facilitate ordering tickets through a web-based system, uploading proof of transfer, and obtaining e-tickets to be shown to ticket officers. Extreme Programming model was used. The e-ticket system has been tested at Baluran National Park using the Blackbox method, showing that the system has the functionality to meet user needs.
Modeling the Farmer Exchange Rate in Indonesia Using the Vector Error Correction Model Method Farida, Yuniar; Hamidah, Afanin; Sari, Silvia Kartika; Hakim, Lutfi
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 23 No. 2 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v23i2.3407

Abstract

The agricultural sector plays a crucial role in the Indonesian economy. However, the farm sector still has serious problems, including agricultural product prices, which often fall when the harvest supply is abundant. So often, the income obtained is not proportional to the price spent by farmers, which has an impact on decreasing the welfare of farmers. An indicator to observe changes in the interest of Indonesian farmers is the Farmer Exchange Rate Index (NTP). This study aims to form a model and project the welfare level of farmers in Indonesia, focusing on NTP indicators, which are caused by the influence of variables such as inflation, Gross Domestic Product (GDP), interest rates, and the rupiah exchange rate. The method used is the Vector Error Correction Model (VECM), used when there are indications that the research variables do not show stability at the initial level and there is a cointegration relationship. The results of this study show that in the long run, significant factors affecting NTP are inflation, interest rates, and the rupiah exchange rate. Meanwhile, in the short term, the variables that have an impact are GDP and the rupiah exchange rate. The resulting VECM model shows a MAPE error rate of 1.79%, indicating excellent performance, as the MAPE error rate is below 10%. The implication of this research is provides information related to NTP projection that can be used to formulate strategies to strengthen Indonesia's agricultural sector.
Pendampingan Teras Belajar Pegon Bagi Santri untuk Membangun Literasi di Pondok Pesantren Mambaul Khoiriyatil Islamiyah Jember Tofaynudin, Johan Indrus; Wafi, Abdul; Mubarok, Husni; Fathoni, M. Iqbal; Hakim, Lutfi
Pandalungan: Jurnal Pengabdian kepada Masyarakat Vol 1 No 1 (2022): Oktober
Publisher : Universitas Al-Falah As-Sunniyah Kencong Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62097/pandalungan.v1i1.1197

Abstract

Metode dalam memahami dan mengetahui cara baca versi Arab dalam lingkungan Pesantren banyaklah variasi dan pendekatan. Di Pondok Pesantren Mambaul Khoiriyatil Islamiyah Bangsalsari Jember dalam pengenalan dan pendampingan santri untuk mengenal dan mudah untuk difahami menggunakan pegon. Yang mana metode ini dengan penulisan secara Arab dengan tanda baca Bahasa Jawa. Hal ini dilaksanakan dalam upaya memudahkan santri baru khususnya lebih mudah faham maksud dari konten kajian. Grand tema program pengabdian kepada Masyarakat yang digagas oleh Institut Agama Islam Al-Falah As-Sunniyah Kencong Jember (PkM-BR) tahun 2022 adalah membangun masyarakat sejahtera berbasis SDGs. SDGs yang digarap di pesantren ini adalah mewujudkan pesantren go green yang dilakukan selama 40 hari dengan metode EBR (Empowerment Based Rerearch) yang langkahnya adalah ECA-EVARED yakni terdiri dari Explore, Create and Action. Evaluation. Report and dessemination. Tujuan pendampingan ini bertujuan untuk dapat meningkatkan dan memudahkan santri untuk mentransfer ilmu dan memahami literasi yang dimodifikasi berbasis bahasa daerah dalam pemahaman karya ulama’.Dari hasil analisis data dapat disimpulkan bahwa mempermudah santri dalam memahami literatur atau kitab-kitab ulama’ salaf, memudahkan santri untuk mengenal dan mengartikan kosa kata Arab ke bahasa local sebagai sarana transliterasi bahasa Arab ke dalam bahasa lokal dan melatih santri menulis bahasa Arab yang baik dan benar.
Application of Blockchain for Tracking Government Funds: Case Studies on Distribution of Regional Transfer Funds Hakim, Lutfi; Aji, Rizal Fathoni
Sistemasi: Jurnal Sistem Informasi Vol 13, No 1 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i1.3481

Abstract

Tracking of Regional Transfer Funds from the Central Government to Regional Governments cannot be carried out optimally which causes the potential for fraud. The tracking in question is related to how long the funds have been sitting in the regional bank before being distributed, when should the funds be distributed, and whether the funds have been used to pay for a predetermined project. This research is a qualitative research through literature studies, observations and interviews which aims to analyze whether blockchain can be the right solution for the problem of tracking regional transfer funds. Based on an analysis using the Enterprise Blockchain Design Framework (EDBF), blockchain can be an alternative solution to this problem, especially if it is built with the characteristics of a Private/Consortium Permitted Blockchain using Hyperledger Fabric. There are five participants in the proposed design starting from government agencies and banking. The results of this design were verified by system developers at the Ministry of Finance, the results of this technology have the potential to be applied and overcome the problem of tracking regional transfer funds.
Implementation of the MOORA Method in the Library Book Procurement Decision Support System Firmansyah, Ferdian; Hakim, Lutfi; Kristanto, Sepyan Purnama
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

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

Abstract

Every year, the library must be buying books in order to increase the collection of books that are in the libraries. When purchasing books, it is necessary to make various considerations so that the books that will be used are relevant to the needs of students and lecturers in academic activities. The procurement of books in the library is still done manually with book selection carried out by the librarians is still one-on-one of the list of submissions of books that have been made by the lecturer. Therefore, there is a need to have a renewal of the system of book acquisition in the libraries one of which uses the decision support system in the process of the book acquisitions. In this study the decision support system used is the MOORA method in determining the rating of the recommendation book to be held. The alternative submission data will be obtained from the library's proposal with the book data from the publisher's book collection. The study uses five criteria for book acquisition, including book price, year of publication, book stock, number of book proposals, and availability of books. This decision support system will provide a recommendation for purchase of books from the alternative data for book submission that will be calculated using the MOORA method to obtain any book recommendation that matches the criteria and budget of the book procurement. Accuracy level testing using the Confusion Matrix by comparing the results of manual calculations with the system to obtain 100% accuracy.
Meningkatkan Kualitas Pendidikan dengan Pendekatan yang Kreatif dan Cerdas Hakim, Lutfi
SCHOLASTICA: Jurnal Pendidikan dan Kebudayaan Vol. 5 No. 1 (2023): Mei
Publisher : LP3M STITNU AL HIKMAH MOJOKERTO

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Abstract

Dalam menghadapi tantangan masa depan yang semakin kompleks, pendekatan kreatif dan cerdas dalam pendidikan Islam menjadi kunci utama untuk mempersiapkan generasi muda menghadapi masa depan yang cerah. Dengan pendekatan ini, siswa akan memiliki pemahaman yang mendalam tentang ajaran agama Islam dan mampu mengaplikasikannya dalam kehidupan sehari-hari. Mereka juga akan memiliki keterampilan yang dibutuhkan untuk menghadapi perubahan dan tantangan yang terus berkembang. Mengimplementasikan pendekatan kreatif dan cerdas dalam pendidikan Islam membutuhkan kerja sama dan kolaborasi dari semua pihak terkait. Para pendidik, kepala sekolah, orang tua, dan masyarakat harus bekerja sama untuk menciptakan lingkungan pendidikan yang inovatif dan mendukung. Dengan demikian, kita dapat menciptakan masa depan yang cerah bagi generasi muda yang berakhlak mulia dan berwawasan luas, serta mampu menghadapi tantangan dan perubahan dengan kecerdasan dan kreativitas yang tinggi.
Co-Authors Abdul Muid Abdul Wafi, Abdul Afiyat, Nur Agus Setiawan Ahmad Hanif Asyhar Aji, Rizal Fathoni Akh Syaiful Rijal Ala'uddin, M. Anwar, Farikhul Arindo, Jastin Wiliam Arumdanie, HSP Watulintang Bagus Zaqqie Berti Ibmagara, Afridha Dianni Yusuf Dwi Wijanarko Ektrada, Erik Fadhilla, Suri Fahrus, Zhidan Fajar Ramadhan, Fajar FAJAR SETIAWAN Fathoni, M. Iqbal Firmansyah, Ferdian Gusminto, Eka Bambang Hadi Paramu Hadromi - Hamidah, Afanin Husni Mubarok Indarto, Tomi Jamilah, Ida Lutfiyatul Khalim, Abdul Khoiriyah, Robihatul Khoirul Umam Kholifah, Anik Nur Lina Andriyani, Lina M. Najib Mas’udi , Thoyib Mustadi Mustadi, Mustadi Negara, Nanda Firdaus Pandu Novitasari , Dian Candra Rini Novitasari, Dian C Rini Nur Syamsi Nurwijayanti Prakosa Rachwibowo Pramana, Djien Putri Oktavia, Nabiilah Putri, Risma Madurahma Rahmadhani, Sadesty Ratnasari, Avina Dwi Rifqi, Mochamad Misbahur Samsuri Samsuri Sari, Ribut Nawang Sari, Silvia Kartika Sepyan Purnama Kristanto Suardinata, I Wayan Sukatja Suparno Suparno Sutarto, Auditya Purwandini Syafi’i, Moh. Syahputra, Orang Kaya Hasnanda Tofaynudin, Johan Indrus Widiarso Dian Agus Widodo, Agung Wahyu Wildana, Dyvani Wahyu Yuniar Farida, Yuniar