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RANCANG BANGUN SISTEM INFORMASI AKADEMIK PADA SEKOLAH TINGGI TEOLOGI MORIAH Ricki Sastra; Imam Nawawi; Numan Musyaffa
Jurnal Khatulistiwa Informatika Vol 7, No 2 (2019): Periode Desember 2019
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jki.v7i2.6582

ABSTRAKSITeknologi informasi berkembang begitu cepat dari hari ke hari. Dampak positif dari perkembangan teknologi informasi banyak sekali kemudahan-kemudahan yang diberikan dalam menyampaikan sebuah informasi yang tepat dan akurat. Komputer dan internet merupakan salah satu sarana teknologi informasi yang terus berkembang dengan cepat dan tidak akan pernah ada habisnya. STT Moriah yang berada di Jl. Kelapa Puan Raya Blok CA 24 No.30-35, Gading Serpong, Tangerang, Banten yaitu suatu sekolah tinggi teologi bagisiswa-mahasiswi dalam bidang pendidikan di Tangerang, berupaya meningkatkan kualitas pelayanan akademik yang dibutuhkan mahasiswa-mahasiswi agar dapat diterima dengan cepat dan tepat sehingga mutu pelayanan memuaskan. penambahan data mahasiswa, data dosen, dan data nilai mahasiswa-mahasiwi, STT Moriah masih menggunakan buku catatan sehingga relatif lama dan kurang efektif. Dengan dibangunnya sistem informasi akademik berbasis web ini diharapkan dapat memberikan solusi sebagai pemecah masalah diatas. Sehingga dapat mempermudah aktifitas akademik dalam memperoleh informasi yang lebih akurat tanpa perlu banyak waktu dan tenaga yang terbuang.Kata Kunci : internet, sistem informasi akademik sekolah

SISTEM MONITORING BARANG CETAK BERBASIS WEB MENGGUNAKAN METODE WATERFALL Imam Nawawi; Nurajijah Nurajijah; Abdillah Ari
INTI Nusa Mandiri Vol 14 No 1 (2019): INTI Periode Agustus 2019
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1163.948 KB)

PT. Sinar Dewasa adalah sebuah perusahaan yang bergerak dibidang percetakan, yang didalam bisnisnya terlebih dahulu harus memenangkan tender. Sampai saat ini PT. Sinar Dewasa hanya menggunakan sistem sederhana dalam pemasaran informasi dan pencatatan, sehingga menimbulkan kelambatan dalam pemasaran informasi dan memonitoring barang cetak yang telah dikirim. Oleh karena itu dari Hasil Sistem penelitian ini dapat membantu perusahaan dalam pembuatan program aplikasi yang dapat mempercepat pengerjaan yang selama ini masih dilakukan secara manual terutama dalam masalah pencatatan barang dan distribusi barang yang ada. Dan dengan adanya penerapan system teknologi internet diharapkan dapat membatu mempercepat dari segi efisiensi waktu.

Pelatihan Dasar Aplikasi Desain Grafis Bagi Anak-Anak Santri Pesantren Penghafal Al Quran Nahwa Nur Hilda Rachmi; Ahmad Fauzi; Imam Nawawi; Risa Wati; Widi Intan Priyanti; Siti Hani Nurlaela
Abditeknika Jurnal Pengabdian Masyarakat Vol. 2 No. 1 (2022): April 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/abditeknika.v2i1.1146

Pesantren Penghafal Al Quran Nahwa Nur terletak di desa Sukmajaya Kecamatan Tajur Halang Kota Bogor. Anak-anak santri Pesantren Penghafal Al Quran Nahwa Nur memerlukan kemampuan di bidang desain grafis untuk meningkatkan keterampilan dalam kreatifitas desain grafis agar tidak hanya berprestasi dalam hafalan alquran saja tapi juga dapat berprestasi di bidang seni desain grafis. Pelaksanaan pengabdian kepada masyarakat ini bertujuan untuk memberikan pemahaman dan wawasan kepada anak-anak santri Pesantren Penghafal Al quran Nahwa Nur mengenai teknik Desain Grafis yang mana pelaksanaanya akan dilakukan secara dalam jaringan. Peserta akan dilatih bagaimana cara memanipulasi gambar mendesain gambar baru, dan menggunakan tools pada aplikasi desain grafis. Dengan pemberian pelatihan ini anak-anak santri pesantren penghafal Al Quran Nahwa Nur akan memiliki keahlian dalam bidang desain grafis. Evaluasi kegiatan dilakukan melalui survey kepuasan peserta. Dari hasil survey didapatkan hasil kepuasan peserta sebesar 99,41%.

Komparasi Algoritma Logistic Regression dan Random Forest pada Prediksi Cacat Software Rizal Prasetyo; Imam Nawawi; Ahmad Fauzi; Ginabila
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 6 No. 2 : Tahun 2021
Publisher : LPPM UNIKA Santo Thomas

Testing becomes the standard in producing quality software, testing can be assessed through certain measures and methods, one of the benchmarks for software quality is ISO, which was made by the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC) , In the prediction of software defects software defect prediction error is a very bad thing, the prediction results can have an effect on the software itself. This study compares the results of the Logistic Regression Algorithm and Random Forest before and after the resampling method is applied, the test results show that Random Forest with resampling produces a higher level of accuracy. From the test results above, it can be concluded that the Random Forest with resampling method is more effective in predicting software defects

Klasifikasi Human Stress Menggunakan Adagrad Optimization untuk Arsitektur Deep Neural Network Mochammad Abdul Azis; Ahmad Fauzi; Ginabila Ginabila; Imam Nawawi
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 7 No. 1 : Tahun 2022
Publisher : LPPM UNIKA Santo Thomas

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

According to the World Health Organization, stress is a type of mental illness that affects human health and there is no one in this world who does not suffer from stress or depression. Stress is a term that is often used synonymously with negative life experiences or life events. . Analysis of data that has an unbalanced class results in inaccuracies in predicting human stress. This study shows that using the Deep Neural Network (DNN) Architecture model by optimizing several parameters, namely the optimizer, Learning rate and epoch. The best DNN Architect results are obtained with 4 Hidden Layers, Adagard Optimization, Learning rate 0.01 and the number of epochs 100. Accuracy, precision, recall and f-measure scores get 98.25%, 83.00%, 98.25%, 91.00%, respectively.

Komparasi Algoritma Logistic Regression dan Random Forest pada Prediksi Cacat Software Rizal Prasetyo; Imam Nawawi; Ahmad Fauzi; Ginabila
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 6 No. 2 : Tahun 2021
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/jtiust.v6i2.1522

Testing becomes the standard in producing quality software, testing can be assessed through certain measures and methods, one of the benchmarks for software quality is ISO, which was made by the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC) , In the prediction of software defects software defect prediction error is a very bad thing, the prediction results can have an effect on the software itself. This study compares the results of the Logistic Regression Algorithm and Random Forest before and after the resampling method is applied, the test results show that Random Forest with resampling produces a higher level of accuracy. From the test results above, it can be concluded that the Random Forest with resampling method is more effective in predicting software defects

Klasifikasi Human Stress Menggunakan Adagrad Optimization untuk Arsitektur Deep Neural Network Mochammad Abdul Azis; Ahmad Fauzi; Ginabila Ginabila; Imam Nawawi
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 7 No. 1 : Tahun 2022
Publisher : LPPM UNIKA Santo Thomas

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

According to the World Health Organization, stress is a type of mental illness that affects human health and there is no one in this world who does not suffer from stress or depression. Stress is a term that is often used synonymously with negative life experiences or life events. . Analysis of data that has an unbalanced class results in inaccuracies in predicting human stress. This study shows that using the Deep Neural Network (DNN) Architecture model by optimizing several parameters, namely the optimizer, Learning rate and epoch. The best DNN Architect results are obtained with 4 Hidden Layers, Adagard Optimization, Learning rate 0.01 and the number of epochs 100. Accuracy, precision, recall and f-measure scores get 98.25%, 83.00%, 98.25%, 91.00%, respectively.

Applying Profile Matching Methode to Determine The Best Employees in Educational Institutions Veti Apriana; Imam Nawawi
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.1130.pp2292-2296

In every company, the performance evaluation of each employee is very important in order to determine the ability, progress and achievement or performance results of each employee. Performance evaluation is an assessment of the performance of each employee whose results can be used for human resource development, companies and educational institutions. In relation to performance evaluation, it is very close to determining the selection of the best employees who will later be used as benchmarks in companies and educational institutions in providing promotions. Determining the best employee is a difficult decision making, the thing that makes it difficult is the implementation of the limited evaluation time and the number of employees so that the selection of the best employee is only chosen by the manager and the results of the assessment are subjective. Selection of the best employees in this study used the profile matching method, assessment and calculation of GAP values ??based on disciplinary criteria, employee performance and soft skills. The final result of the profile matching method is in the form of a ranking which shows that the higher the ranking is produced, the greater the chance to get an assessment as the best employee. The results showed that the profile matching method can be used in a decision support system to determine the best employees in companies and educational institutions.

Maintainability Prediction in Eclipse Mylyn Software Program Code Using Mamdani's Fuzzy Inference System Approach Mochammad Abdul Azis; Imam Nawawi; Ahmad Fauzi; Ginabila; Ahmad Hafidzul Kahfi; Abdul Hamid
Jurnal Mantik Vol. 5 No. 2 (2021): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol5.2021.1355.pp512-516

Software quality can be assessed using certain measures and methods, as well as using software testing. ISO is used as one of the benchmarks of software quality that has been created by the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC). Software testing can use metrics to increase productivity, this software is very useful in simplifying the testing process by focusing the programmer on the code quality part of the program. The ability of software to be modified includes correction, improvement or adaptation to changes in the environment, requirements, and functional specifications. Metrics can be used to measure the quality level of a model's program code based on indicators from Chidamber Kemerer (CK) by performing Maintainability Predictions which are tested on the metrics bug prediction found in the eclipse mylyn application which consists of four properties, namely WMC, DIT, NOC, and , RFCs. To be able to help carry out the process of calculating software quality based on CK Metrics on mylyn eclips data using the Mamdani fuzzy inference system, it can prove the classification into Low, Medium, High forms. In this case, the defuzzification method is confirmed using the COA (centre of area) method to determine the final value obtained from the membership function formed from the composition process of all outputs.

Optimalisasi Data Tidak Seimbang Pada Data Nasabah Koperasi dalam Pemberian Pinjaman Menggunakan Random Oversampling Richky Faizal Amir; Andreyestha Andreyestha; Imam Nawawi; Rino Ramadan
FORMAT Vol 12, No 1 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2023.v12.i1.004

Cooperatives have developed from time to time, in providing services, credit cooperatives certainly have certain requirements as prospective customers to receive loans. Cooperatives need to check whether interested parties will receive loans. Loans to customers are the main source of income for cooperatives. In data mining, there are several classification algorithms that can be used for credit analysis, including the Random Forest and the C4.5 Algorithm. Data on prospective customers received from cooperatives as a condition for applying for credit is processed using Random Forest data mining and C4.5 Algorithm to support credit analysis in order to obtain accurate information on whether the prospect who applies for credit is feasible or not, this study was conducted to classify loans to prospective customers. cooperative customers using the Random Forest method and the C4.5 Algorithm which is optimized by Random Oversampling because the dataset is in an unbalanced condition. In testing the C4.5 Algorithm which is optimized with Random Oversampling, it gets an accuracy of 78.03%, where the accuracy increases by 7.89% from the previous 70.14%. Meanwhile, Random Forest with Random Oversampling has an accuracy value of 87.12%, an increase of 23.69% from the previous Random Forest test of 63.43

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