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Syamsul Rizal
National Nuclear Energy Agency, Jakarta, Indonesia
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MELACAK TERMINOLOGI MANUSIA DALAM ALQURAN Rizal, Syamsul
At-Tibyan: Jurnal Ilmu Alqur'an dan Tafsir Vol 2 No 2 (2017): Volume 2 No. 2, Desember 2017
Publisher : Department of Alquran Science and Interpretation of the Faculty of Ushuluddin, Adab, and Da'wah of IAIN Langsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32505/tibyan.v2i2.391

Abstract

This article aims to discuss human concepts in the Qur'an. Allah SWT. call Human Beings in the Qur'an there are several terminologies such as basyar, insan, unas, insiy, 'imru, rajul or which contain the meaning of women such as imra'ah, nisa' or niswah or in personality traits, such as al-atqa, al-abrar, or ulul albab, also as part of social groups such as al-asyqa, dzul-qurba, al-dhu'afa who all contain instructions as human beings in their essence and humans in concrete forms. Humans are the most perfect creatures that Allah SWT has ever created. The purpose of creating humans is only to worship Allah SWT, and to become a caliph on earth.
EPISTEMOLOGI FILSAFAT ISLAM DALAM KERANGKA PEMIKIRAN ABID AL-JABIRI Rizal, Syamsul
At-Tafkir Vol 7 No 1 (2014): Vol VII No 1 Juni 2014
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LP2M) IAIN Langsa

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

Abstract

Fazlur Rahman, (1982: 157) secara tegas mengatakan, filsafatmerupakan alat intelektual yang terus menerus diperlukan. Untuk itu,ia harus berkembang secara alamiah, baik untuk perkembangan filsafatitu sendiri maupun untuk pengembangan disiplin-disiplin keilmuan yanglain. Karena itu, orang yang menjauhi filsafat dapat dipastikan akanmengalami kekurangan energi dan kelesuan darah ? dalam artikekurangan ide-ide segar ? dan lebih dari itu, ia berarti telahmelakukan bunuh diri intelektual. Di antra tokoh Islam yangmengembangkan filsafat adalah Abid al-Jabiri, ia memformulasikanbahwa epistemology filsafat Islam terdiri dari tiga bagian yaitu; bayaniburhani dan irfani. Dengan ketiga epistemology tersebut dapatmemetakan keilmuan yang terdapat dalam Islam. Dalam artikel iniakan dibahas ketiga epistemology tersebut.
PENYULUHAN MENGGALI POTENSI TANAMAN OBAT PADA SMAN 1 RAMBUTAN BANYUASIN SUMATERA SELATAN Eddy, Syaiful; Dahlianah, Inka; Rizal, Syamsul; Kartika, Trimin
Jurnal Pengabdian Masyarakat Bumi Raflesia Vol 1, No 1 (2018): Jurnal Pengabdian Masyarakat Bumi Raflesia
Publisher : Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (415.822 KB) | DOI: 10.36085/jpmbr.v1i1.191

Abstract

Pemanfaatkan tanaman obat  sebagai  pengobatan pada masyarakat merupakan warisan secara  turun temurun.  Sejalan dengan kemajuan teknologi dan informasi akan obat modern, maka penggunaan  tanaman obat mengalami penurunan. Penurunan pengetahuan  tentang tanaman obat terutama dialami oleh anak-anak sekolah sebagai generasi muda. Permasalahan mitra  SMAN 1 Rambutan adalah ketidak tahuan dan rendahnya pengetahuan mereka akan tanaman obat dan potensi yang ada pada  tanaman obat. Materi penyuluhan  meliputi manfaat dan kegunaan tanaman obat, potensi tanaman obat sebagai tanaman hias, manfaat daun kelor (Moringga olifera) sebagai tanaman obat dan tanaman obat bernilai ekonomi.  Metode pengabdian kepada masyarakat  menggunakan  metode ceramah, diskusi dan tanya jawab yang bersifat interaktif melalui dua arah. Bentuk transfer ilmu tidak hanya sosialisasi  namun   juga praktik. Hasil dari kegiatan pengabdian kepada masyarakat ini, bagi peserta yaitu siswa SMA N 1 Rambutan mengalami peningkatan pengetahuan tentang potensi tanaman obat  kira-kira 95%. Kata Kunci: Tanaman obat, Tanaman hias, Potensi tanaman obat.
TEA LEAVES GMB SERIES CLASIFFICATION USING CONVOLUTIONAL NEURAL NETWORK Rizal, Syamsul; Pratiwi, Nor Kumalasari Caecar; Ibrahim, Nur; Vidya, Hurianti; Saidah, Sofia; Fu'adah, R Yunendah Nur
JESCE (JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING) Vol 3, No 2 (2020): Journal Of Electrical And System Control Engineering Februari
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (860.876 KB) | DOI: 10.31289/jesce.v3i2.3320

Abstract

This study classifies GMB series tea leaves by using a convolutional neural network as a classification system. GMB series tea are the superior tea seeds in Indonesia. Gambung series, namely: GMB 1 to GMB 11, are planting material seeds that have been recommended by the Ministry of Agriculture. The potential of these tea series yield of 4,000 - 5,800 kg / ha of dried tea. The morphological similarity level of GMB 1 to GMB 11 is very high, because many elders from the clones are from the same crossing parents. During this time, the process of identifying GMB clones 1 through GMB 11 is done manually using the visual eye of an experts at PPTK Gambung. These experts are limited to be able to identify each tea series. This process is susceptible to errors in the reading of clone types, and is very dependent on the presence of the experts. If an error occurs in the process of identifying the type of clone, it will interfere with the nursery process. Errors in the selection of recommended clones will harm the process of a long period of time, because the economic age of tea plants can reach until 50 years. The potential loss of production due to misuse of plant material can reach 1,200 kg / ha per year. Against the background of these problems, it is very necessary to have a system to identify the GMB series clone. Continuous studies has been conducted to build an automation system for the identification and classification of GMB series tea clones. The system is designed using the Convolutional Neural Network (CNN) method. The results obtained from this system output in the form of accuracy with a value of 85%.
The Effect of Leadership, Compensation and Competency on Employee Performance Sarboini, Sarboini; Rizal, Syamsul; Surya, Jen; Yusuf, Zulfan
Jurnal Ilmiah Peuradeun Vol 6 No 2 (2018): Jurnal Ilmiah Peuradeun
Publisher : SCAD Independent

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (921.232 KB) | DOI: 10.26811/peuradeun.v6i2.199

Abstract

This study is an implicit study of the influence of leadership, compensation and competence on employee performance of Banda Aceh Public Health Office. The purpose of this research is to know the influence of leadership, compensation and competency either partially or simultaneously on employee performance of Banda Aceh Public Health Office. The study population is all over Government Employees that works on Banda Aceh Public Health Office, amounting to 84 employees. The entire population is sampled because the population is affordable or less than 100. Data collection is done by distributing questionnaires (questionnaires). Primary data are then analyzed by using multiple linear regressions. The results of the study explain the leadership significantly influences the performance of employees in the Public Health Office of Banda Aceh. Compensation has a significant effect on employee performance of Banda Aceh Public Health Office. Simultaneously leadership, compensation and competence have a strong and positive relationship with employee performance at Banda Aceh Public Health Office. The role of leadership, compensation and competence in influencing employee performance at Banda Aceh Public Health Office also more dominant than other variables outside the model.
IDENTIFIKASI KARAKTERISTIK MEKANIS BANTALAN LUNCUR MOTOR STARTER DARI SERBUK TEMBAGA ALUMUNIUM rizal, syamsul; suhandi, amin
Jurnal Sains dan Teknologi Indonesia Vol. 12 No. 3 (2010)
Publisher : Badan Pengkajian dan Penerapan Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (103.038 KB) | DOI: 10.29122/jsti.v12i3.864

Abstract

There are many attempts to support the development of industry in Indonesia, especially on automotive sector, one of them is by replacing import components with local component products. Bushing is one of imported component that widely used on automotive application including motor strater. Bushing usually made of copper alloy such as brass, bronz or babbit in a solid form by casting or extrusion process. In this research powder metal technology is used to process Cu-Al powder to become slide bearing of motor starter. It is expected that powder metal process not only increasing local content in automotive parts but also providing better quality by increasing life time of bushing compared to ordinary one. Cu-Al metal powder was compacted at various pressure, i.e: 250 MPa, 350 MPa and 450 MPa, and then all specimens were sintered at different temperatures : 4000C, 5000C dan 6000C for 1 hour. After sintering specimens were air cooled to room temperature. After physical and mechanical test it can be deduced that bushing made by powder metallurgy method could increase its mechanical properties and as aresult improve its life time operation.
Faktor-Faktor yang mempengaruhi Kepuasan Konsumen dan Kaitannya Dengan Kesetiaan Merek pada Produk Kesehatan K-Link di Kota Banda Aceh Rizal, Syamsul
Jurnal EMT KITA Vol 3, No 2 (2019): Journal EMT KITA
Publisher : Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (208.73 KB) | DOI: 10.35870/emt.v3i2.112

Abstract

The purpose of this study was to determine the factors of consumer satisfaction and how much influence on brand loyalty in K-link health food products in the city of Banda Aceh. The object of research is about the satisfaction and loyalty of consumer brands in K-Link health food products in Banda Aceh City with a total sample of 250 respondents. The results of this study indicate that there is a significant correlation (correlation coefficient) between the variables of customer satisfaction factors that include product attributes, service attributes and purchase attributes to brand loyalty that is equal to 0.649 or 64.9%. The results also showed that the three variables of consumer satisfaction had a strong influence on brand loyalty of K-link health food products that was 0.422 or 42.2%. The product attribute variable has a dominant influence on influencing consumer brand loyalty on K-Link health food products because this variable has a higher regression coefficient than the other two independent variables. Keywords: Consumer Satisfaction, Loyalty, Brand, K-Link Health Products.
Pemanfaatan Tepung Kentucky untuk Menumbuhkan Ekonomi di Tengah Pandemi Covid-19 Rizal, Syamsul; Giantara, Febri; Hervrizal, Hervrizal; Trimono, Trimono; Kusdani, Kusdani; Bainar, Bainar
Jurnal Pendidikan Tambusai Vol. 5 No. 3 (2021): 2021
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (702.657 KB)

Abstract

Pengabdian kepada Masyarakat yang dilakukan merupakan bentuk usaha perbaikan ekonomi masyarakat di RT 02 RW 02 Kelurahan Agrowisata Rumbai dengan tujuan dari Pengabdian kepada Masyarakat ini adalah untuk mengedukasi masyarakat bagaimana cara memanfaatkan tepung kentucky yang baik dan benar serta mengajarkan memasarkan melalui media online. Metode penelitian yang digunakan adalah PAR dan dianalisis menggunakan pendekatan deskriptif. Hasil yang diperoleh adalah telihatnya perubahan pengetahuan warga tentang bagaimana cara mengolah tepung kentucky menjadi olahan makanan yang tepat dan bermanfaat serta memiliki nilai jual yang tinggi dimasyarakat. Hal ini terlihat dari hasil observasi warga. Selain itu juga ditemukan beberapa warga melanjutkan proses pendampingan ini menjadi bentuk sebuah usaha mikro kecil menengah yang mampu memberikan pemasukan tambahan bagi warga tesebut.
Classification of eye diseases in fundus images using Convolutional Neural Network (CNN) method with EfficientNet architecture Arif, Zhafeni; Nur Fu’adah, R. Yunendah; Rizal, Syamsul; Ilhamdi, Divo
JRTI (Jurnal Riset Tindakan Indonesia) Vol 8, No 1 (2023): JRTI (Jurnal Riset Tindakan Indonesia)
Publisher : IICET (Indonesian Institute for Counseling, Education and Therapy)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/30032835000

Abstract

This research is designed to classify eye disease conditions into three classes, namely normal, cataract, and glaucoma using a system. The system will use Convolutional Neural Network (CNN) with EfficientNet architecture. The EfficientNet that will be used is EfficientNet-B0. The dataset in this paper is obtained from Kaggle totaling 300 images. From this data, augmentation is carried out so that 3.600 images are obtained consisting of "normal" (1200 images), "cataract" (1200 images), and "glaucoma" (1200 images). This data is processed into 4 different datasets, namely the original dataset, augmentation dataset, augmentation dataset that has been preprocessed grayscale, and augmentation dataset that has been preprocessed thresholding. The best results are obtained using the Adam optimizer, learning rate 0.00001, and batch size 32, and iterations of 20 epochs. The best dataset is the augmentation dataset that has been preprocessed grayscale with an accuracy of 79.22%, precision value of 80.3%, recall value of 79.22%, F1-Score of 78.87%.
Deteksi Penyakit pada Tanaman Padi Menggunakan Pengolahan Citra Digital dengan Metode Convolutional Neural Network Santosa, Atharizky Ade; Fu'adah, R Yunendah Nur; Rizal, Syamsul
JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING Vol. 6 No. 2 (2023): Journal of Electrical and System Control Engineering
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jesce.v6i2.7930

Abstract

Rice plant is one of the important factors in supporting human life. When it starts to grow, of course, rice plants also often face problems such as pests or diseases that cause plants to die and lead to crop failure. So proper handling is needed to overcome the disease in rice plants. One of the treatments that can be done is by detecting diseases in rice plants, so that farmers can provide appropriate treatment for these problems. The research data will be processed through several stages, then the dataset used in this study consists of three classes of rice plant diseases, namely, bacterial leaf blight, brown spot, leaf smut and one class of healthy/healthy rice plants with a total of 16000 datasets collected from sources www.kaggle.net and previous research. The parameters tested in this study, namely hidden layer and optimizer affect system performance in the form of accuracy, precision, recall, fl-score, and loss values. In this study, the best results were obtained by using four hidden layers and Adam optimizer. Accuracy was 99.66%, precision, recall, fl-score was 99.66%. 100% and a loss of 0.0047 as well as a graph of the accuracy and loss performance in a good fit.
Co-Authors A.P, M. Defriansyah ABDULFATTAH, MUHAMMAD EFAN Abdurahmanfarid, Afif Abdus Salam, Abdus Absya, Bafelia Indriyati Adeko, Uun Adel Zamri Adelia Putri, Safira Adi Saputra, Angga Juliat Adian Aristia Anas Aditya, Dimas Affan, Junaidi M agustina, imelda Ahmad Farhan, Ahmad Ahmad Junaidi Ahmad, Lukman Aida Rahmi Nasution, Aida Rahmi Ainal Mardhiah Aini, Jannatun Al-Gunaid, Seba Aldri Frinaldi Alfalaq, Razzaq Alfauzan Amin Alfina Ali Medi Alis Triena Permanasari Alvi Rahmah Amalia, Ghina Amir Hamzah Amirsyah, Mirnasari Amirsyaha, Mirnasari Andika, Joko Andriadi Andriadi Angga Rusdinar Anton Zulkarnain Sianipar Aprilia, Lisnawati Apriyanti Arbi Yasin, Arbi Ardiansyah, Gustio Arba Arif, Zhafeni Arnoldi, Dwi Azka, Tsabita Izzatu Azwar, Beni Azzahra, Khoirunnisa Azzarkasyi, Muhammad Badaruddin Bainar, Bainar Bangun, Kristaninta Basri Basri Bety Bety Bety Bilardo, Topan Candra, Naurah Crisandini Putri Chaliluddin Chikita, Daien Chintia Amelia Pratiwi Dadang Dwi Septiyan, Dadang Dwi Dahlia Dahlia Dara, Cut Deasari, Wulan Defriansyah, Dedi Dewanti, Asri Hajar Dwi Fitriyanti, Hesy Dwi Utami, Eliza Eddy, Syaiful Edy Miswar, Edy Efrizal, Dedi Eke Wince, Eke Eko Setiawan, Aan Elawati, Susila Endarsih, Triya Fadila Fadila, Fadila Fairus, Aulia Fasa, Rahmanita Dian Fauzi, Rafi Rizq Febri Giantara Fiqiyah, Maskanatul Firdaus, Giwa Iqbal Firmansyah, Juli Fitri, Dwi fitria ningsih Fritzy, Ikram Nur Zanetty Fuadi Furqon, Aynan Fu’adah, R Yunendah Nur Giri Mustika Roekmana Hadiyatno Hadiyatno, Hadiyatno Hajriyanti, Rahmi Hamdani Hamzah, Syukri Hariyani Hairunnisa, Neni Harmi, Hendra Hartini Hartini Hasanah Hasanah Hasmah, Siti Havazah, Dhini Khoirunnisa Herdiana, Herdiana Herliana, Fitria Hernandes, Febra Hervrizal, Hervrizal Hery Widijanto Hidayat, Fadly HIDAYATI, BAITI Husaini husnaini, husnaini Husnidar . Ibrahim Ichsan Setiawan Ida Ayu Putu Sri Widnyani Idi Warsah Ijal Fahmi, Ijal Ika Lutfi Nurjanah Ilham Zulfahmi Ilhamdi, Divo Ilyas Ilyas Immasari, Ito Riris Indah Pratiwi Indra Gunawan Inka Dahlianah, Inka Intan Sari Iqbal, Taufiq Irama, Debi Irawan Malik Irham Falahudin, Irham Irma Aryani Irwansyah, Denny Ismail Jaitun Jaitun, Jaitun Jayadi, Sudarman Jen Surya Joni Irawan, Joni Julianti, Mariana Juniarti, Lusia Jurianto Kafrawi Kafrawi Kamilia, Afina Kardina, Nina Keumala, Cut Muftia Khairul Amri Khoirullah, Ananda Thomas Khoirun Nisa Kreshanti, Prasetyanugraheni Kurniawan , Ferry D. Kusdani, Kusdani Kusmiati Kusmiati Kusniawati, Rena Ledya Novamizanti Lestari, Dwi Junianti Lindriany, Julita Lubis, Rahmad Fauzi M Ikhsan M, Amril Maimun Syukri, Maimun Maisyuri Mardiah MARDIANA Mariati Mariati Marinda, Aflia Bela Martina, Feny Maryam Maryam Maryam Masra Lena Siregar, Masra Lena Maulida, Maulida Mauludi, Muhammad Rizky Mayang Sari, Selly Miftahul Rahmah Mila, Andika Nopriansyah Mohd. Nasir Muammar Khadafi MUCHSIN Muhammad Muhammad Hafiz Muhammad Jailani Muhammad Rifki MUHAMMAD TAUFIK Muhammad Wali, Muhammad Munawir Munawir Mursal Mursal Musdar, Musdar Muttaqien Muttaqin, Divia Agustiani Nasir Nasir, Mohd Natela, Hikmatul Nazliati, Nazliati Ngadimin Ngadimin Ni Putu Nita Wijayanti Nisa Amalia, Nisa Nor Kumalasari Caecar Pratiwi Nur Fu’adah, R. Yunendah Nur Ibrahim Nuran, Arsy Luxmy Fatwa Nurmela Prabana, Ipan Prajaputra, Vicky PRATIWI, NOR KUMALASARI CAESAR Purwinarti, Wiwin puspitasari, Arum Putra, Doni Aditya R. Yunendah Nur Fu’adah Rahayu, Eko Rahayu, Nadiya Cantika Rahimi, Sayyid Afdhal El Ramadani, Alan Ramadhan, Ferdian Ilham Ramadhoni, Tri Satya Ramdhani, Afwan Muhamad Ratna Mutia Aprilla Ratnaningsih, Herin Razali Thaib Reza Maulana Rhoni Rodin Rian Permana Rianjuanda Ridhatama, Muhammad Fakhri Rima Novirianthy Riska Riska Rizki Ananda Rizky, Avisha Tiara Rohani, Tri Rohimin Rohimin Romli Romli, Romli Rosyidah, Isy Maryam RR. Ella Evrita Hestiandari Rusmandi, Heri Safitri, Irma Safitri Saiful Saiful Amri Sailon Sailon, Sailon Salsabila, Rifqah Ainun Sampurno, Rachmat Dwi Samsuar, Samsuar Santosa, Atharizky Ade Saraswati, Dwi Bekti Sarboini Sarboini, Sarboini Sari, Dewi Purnma Sari, Rita Sari Selfiana, Rani Seprianto, Dicky Seprianto, Seprianto Septian, Dadang Dwi septrianti, nabila adisty Setiawan, Jamil Shabet, Ali Silvia, Lady Siregar, Friska Anggi Siti Handayani Slamet . Soegeng Witjahjo SOFIA SAIDAH Soleha, Sovatu Nisa Soleha, Sovatunisa Sri Wahyuni Sri Wulandari suhandi, amin Suhaya Suhaya, Suhaya Sulistyawati, Hesti Sundari, Ella Suryani Suryani Suryani, Nyayu Yayu Suryo Adhi Wibowo Sutarto Sutarto SUTRIONO SUTRIONO Suwardi, Pratiwi Jasmine Syafitri, Ranny Aulia Syahril Syahril Syam, Asrul Syarifah Farissi Hamama Tamara, Veny Tarmizi Taslima, Devyana Enggar Taufikurrahman Taufikurrahman Tazkiyah, Tamara Thaib Rizwan, Thaib Tiara, Meza Tri Wulandari Trimin Kartika, Trimin Trimono, Trimono Umar, Nyak Utami, Valisneria Vidya, Hurianti Viktowot, Viktowot Wahyu Utami, Wahyu Wahyuni, Agus Waraztuty, Ika Warsah, Idi Warsah Widagdo, Tri Wilza, Romi Wiranata, Erik Wirawn, Pandy Akbar Wiwin Purwinarti Yuhaswita Yulia Citra, Yulia Yuliandi, Rizky Brillian Yulistio, Didi Yunita Suffiana Yusrianto, Edi Yusuf, Zulfan Zahri, Zakiyah Ilmi Zainuddin, Zainuddin Zakaria Zakaria Siregar, Zakaria Zakaria, Iskandar Zamheri, Ahmad Zonyfar, Candra Zulensi, Fisabilillah Caudilo Zulhamdi, Zulhamdi